From laurenz.wiskott at rub.de Fri Jun 1 08:35:54 2018 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Fri, 1 Jun 2018 14:35:54 +0200 Subject: Connectionists: fully funded PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany Message-ID: <20180601123554.xo753efu2jc5zqwu@garlic> Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/ Research topics: We are looking for an outstanding candidate who will be working on a model of the hippocampus and neocortex investigating the interplay between episodic memory and semantic memory. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with humans by our experimental partners in Bochum and M?nster. The position is part of a team working jointly on developing a system-level model of hippocampal function for memory and navigation. This is being doing in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single file pdf to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From barros at informatik.uni-hamburg.de Fri Jun 1 11:00:56 2018 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Fri, 1 Jun 2018 17:00:56 +0200 Subject: Connectionists: CFP: Workshop on Crossmodal Learning for Intelligent Robotics in conjunction with IEEE/RSJ IROS 2018 Message-ID: <7c7b12ed-10c4-a6ef-4ad3-9d73fb026e9e@informatik.uni-hamburg.de> **Apologies for cross-posting** 1st CALL FOR PAPERS for the international workshop: * Crossmodal Learning for Intelligent Robotics * in conjunction with IEEE/RSJ IROS 2018 * Madrid, Spain - Friday 5 October 2018 * * Website: http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php * I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioural responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. Multisensory representations have been shown to improve performance in the research areas of human-robot interaction and sensory-driven motor behaviour. The perception, integration, and segregation of multisensory cues improve the capability to physically interact with objects and persons with higher levels of autonomy. However, the multisensory input must be represented and integrated in an appropriate way so that they result in a reliable perceptual experience aimed to trigger adequate behavioural responses. The interplay of multisensory representations can be used to solve stimulus-driven conflicts for executive control. Embodied agents can develop complex sensorimotor behaviour through the interaction with a crossmodal environment, leading to the development and evaluation of scenarios that better reflect the challenges faced by operating robots in the real world. This half-day workshop focuses on presenting and discussing new findings, theories, systems, and trends in crossmodal learning applied to neurocognitive robotics. The workshop will feature a list of invited speakers with outstanding expertise in crossmodal learning. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Confirmed Speakers ?? ?? 1.?? * Yulia Sandamirskaya * ?????????? Institute of Neuroinformatics (INI), University and ETH Zurich ?? 2.?? * Angelo Cangelosi * ?????????? Plymouth University and University of Manchester, UK ?? 3.?? * Stefan Wermter * ?????????? Hamburg Universit, Germany ?? IV. Submission ??? 1. Topics of interest: ?? - New methods and applications for crossmodal processing ???? (e.g., integrating vision, audio, haptics, proprioception) ?? - Machine learning and neural networks for multisensory robot perception ?? - Computational models of crossmodal attention and perception ?? - Bio-inspired approaches for crossmodal learning ?? - Crossmodal conflict resolution and executive control ?? - Sensorimotor learning for autonomous agents and robots ?? - Crossmodal learning for embodied and cognitive robots ?? 2. For paper submission, use the following IEEE template: ?? * ?? ?? 3. Submitted papers should be limited to *2 pages (extended abstract)* or *4 pages (short paper)*. ?? 4. Send your pdf file to barros at informatik.uni-hamburg.de AND jirak at informatik.uni-hamburg.de ?? Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (to be arranged).? Submissions will be peer reviewed consistent with the journal practices. V. Important Dates ?? * Paper submission deadline: August 15, 2018 ?? * Notification of acceptance: September 5, 2018 ?? * Camera-ready version: September 15, 2018 ?? * Workshop: Friday 5 October 2018 ?? VI. Organizers ?? * German I. Parisi * Hamburg University, Germany ?? * Pablo Barros * Hamburg University, Germany ?? * Doreen Jirak * Hamburg University, Germany ?? * Jun Tani * Okinawa Institute of Science and Technology, Japan ?? * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/ From mkaiser241 at gmail.com Fri Jun 1 10:24:09 2018 From: mkaiser241 at gmail.com (Marcus Kaiser) Date: Fri, 1 Jun 2018 15:24:09 +0100 Subject: Connectionists: Master programme in Neuroinformatics and Computational Neuroscience Message-ID: Dear all, Please forward the following to interested final year UG students. our one-year master degree program in Neuroinformatics and Computational Neuroscience at Newcastle University is now accepting student applications. The course focuses on handling brain connectivity datasets, analyzing electrophysiological recordings, and simulating neural activity and development. Applications range from theoretical neuroscience and machine learning to experimental and clinical research. There are more than a dozen faculty members in the areas of Neuroinformatics, Health Informatics, and Neurotechnology within Newcastle University (see overview at http://neuroinformatics.ncl.ac.uk/ ). Close interactions with experimental and clinical researchers are a key component of the course and the dissertation research project. Ongoing research areas in Newcastle include neuroimaging, psychophysics, systems neuroscience (visual, auditory, and motor system), aging, neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips, and connectomics (http://www.ncl.ac.uk/ion ). Newcastle University hosts around 100 principal investigators in the neurosciences. You can find out more about the program and how to apply at http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscience-neuroinformatics-msc/#profile *COURSE OUTLINE* The MSc in Neuroinformatics is a full-time, one-year advanced masters course designed for students who have a good degree in the biological sciences or the physical sciences (computer science, mathematics, physics, engineering). It provides the specialist skills in core Neuroinformatics courses (such as computing and biology) with a significant focus on the development of research skills. Prior experience with computers or computer programming is not required. The program is ideal for students aiming for careers in industry or academia. The course is based in the School of Computing but there are strong links with biomedicine, engineering, and the Institute of Neuroscience. *WHY STUDY AT NEWCASTLE?* The MSc in Neuroinformatics is a truly interdisciplinary degree and provides the dual skills necessary to establish a rewarding career in this research area. The Newcastle program has a research focus on data management, network analysis (e.g. Kaiser, Neuroimage, 2011), and simulation. Newcastle is among the pioneers of the field in the UK and hosted the ?4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. We are currently involved in the ?10m EPSRC/Wellcome Trust-funded CANDO project for developing an implantable optogenetic device for epilepsy patients (http://www.cando.ac.uk/ ). Newcastle has strong links with the International Neuroinformatics Coordinating Facility (INCF). Currently, members of the faculty lead Neuroinformatics UK (http://www.neuroinformatics.org.uk/ ) and co-chair the Neuroinformatics Special Interest Group of the British Neuroscience Association (BNA). *COURSE CONTENT* Semester 1 contains modules to build the basic grounding in, and understanding of, Neuroinformatics theory and applications, mathematics and statistics, and programming. Semester 2 introduces modules that focus heavily on introducing subject-specific research skills and includes options for choosing modules. A major part of the programme is a research project that will occupy approximately six months. This project may be associated with staff in any of the Schools mentioned above, thus providing a wide range of exciting areas in which the newly learnt Neuroinformatics skills can be deployed. *HOW TO APPLY* Applications for this program are now being accepted. Please see http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscience-neuroinformatics-msc/#profile for more information. Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics at Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study -------------- next part -------------- An HTML attachment was scrubbed... URL: From mkaiser241 at gmail.com Fri Jun 1 09:54:32 2018 From: mkaiser241 at gmail.com (Marcus Kaiser) Date: Fri, 1 Jun 2018 14:54:32 +0100 Subject: Connectionists: FENS Satellite Symposium: From Scanner to Bedside Message-ID: Dear colleagues, I would like to draw your attention to our FENS Satellite Symposium "From Scanner to Bedside - What do connectome and gene expression say about brain diseases?" chaired by Prof. Marcus Kaiser (Newcastle University) and Dr Markus Butz-Ostendorf (Biomax): https://www.biomax.com/symposiums/from-scanner-to-bedside/ In this FENS satellite symposium on Friday 6 July, research with a high potential for applications in neurology and psychiatry is presented. We want to bring together scientists with clinicians from all disciplines dealing with brain diseases and to provide a forum for discussion and exchange what steps are needed to bring novel techniques into clinical applications. Keynote Lectures are given by PROF. DR. ANDREAS MEYER-LINDENBERG (Zentralinstitut f?r seelische Gesundheit, Mannheim, Germany) PROF. DR. ED BULLMORE (Cambridge University, Cambridge, UK) PROF. DR. DR. ELISABETH BINDER (Max-Planck Institute for Psychiatry, Munich, Germany) For the full program see https://www.biomax.com/symposiums/from-scanner-to-bedside/ Participation is free but please register at https://ssl.biomax.de/Symposium/register.html Looking forward to welcoming you in Berlin! Best regards from the organizers, Marcus Kaiser & Markus Butz-Ostendorf -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics at Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study -------------- next part -------------- An HTML attachment was scrubbed... URL: From mosb at robots.ox.ac.uk Sat Jun 2 10:24:24 2018 From: mosb at robots.ox.ac.uk (Michael Osborne) Date: Sat, 02 Jun 2018 15:24:24 +0100 Subject: Connectionists: Postdoc in Machine Learning, University of Oxford Message-ID: What will machine learning mean for creativity? We're recruiting a machine learning post-doc for a cool interdisciplinary project in the University of Oxford on this question. The application site is below, and the closing date for applications is **12.00 midday BST on 22 Jun 2018.** https://is.gd/sKcvDd ## Postdoctoral Research Assistant in Machine Learning ### Department of Engineering Science, Oxford *Grade 7: ?31,604 - ?34,520 .* More details and applications here: https://is.gd/sKcvDd. We are seeking a full-time Postdoctoral Research Assistant to join the machine learning research group at the Department of Engineering Science (central Oxford). The post is is fixed-term to 31 October 2019. The post will entail working on a project titled ?Creative Algorithmic Intelligence: Capabilities and Complementarity?. Your role in the project is to develop novel probabilistic machine learning algorithms for data characterising creative tasks. Creativity has often been considered beyond the scope of algorithmic intelligence: however, recent years have produced striking examples of algorithms, that might be called creative, contributing to cultural production. Such examples include the algorithmic production of news, films and chamber music. This project will assess the scope of present and future capabilities of creative algorithmic intelligence, and to what degree these algorithms can be complementary to human creativity. The project represents an interdisciplinary collaboration with Professor Rebecca Eynon in the Oxford Internet Institute. The project will make use of mixed methods, using machine learning techniques underpinned by robust and rich qualitative data. Your responsibility is for algorithmic classification and modelling to study the complementarity of creative algorithmic intelligence to workplace tasks, and you will work closely with another postdoctoral team member based in the Oxford Internet Institute. You should hold a relevant PhD/DPhil or be near completion in engineering, computer science, mathematics, statistics, economics or similar, with specialisation in probabilistic models (with the possibility to underfill at Grade 6: ?28,098 - ?33,418 p.a. if the candidate holds a relevant degree/Masters and is working on PhD/DPhil) together with relevant experience; Informal enquiries may be addressed to Professor Michael Osborne at mosb at robots.ox.ac.uk. Further information can be found at: www.eng.ox.ac.uk/jobs/home You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. Kindest Mike __________________________________ Michael A Osborne: Dyson Associate Professor in Machine Learning, Engineering Science; Co-Director, Oxford Martin Programme on Technology and Employment; Co-Director, EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems; and Official Fellow, Exeter College. All are at the University of Oxford. +44 (0)1865 616622 http://www.robots.ox.ac.uk/~mosb http://twitter.com/maosbot -------------- next part -------------- An HTML attachment was scrubbed... URL: From sildomar at ieee.org Fri Jun 1 18:06:12 2018 From: sildomar at ieee.org (Sildomar Takahashi Monteiro) Date: Fri, 1 Jun 2018 17:06:12 -0500 Subject: Connectionists: [jobs] AI Software Engineer positions at Boeing Research - Seattle, WA and Huntsville, AL Message-ID: We are hiring AI and ML research engineers/scientists at multiple levels for Seattle, WA and Huntsville, AL. The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems. The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation. A successful candidate will become part of the growing AI organization part of Boeing Research & Technology - the central R&D arm of Boeing. For more information and how to apply, please visit: http://j.rfer.us/BOEcsLY6q (Seattle) http://j.rfer.us/BOEEZhY6r (Huntsville) US citizenship or permanent residency is required. -------------- next part -------------- An HTML attachment was scrubbed... URL: From huajin.tang at gmail.com Sun Jun 3 06:13:01 2018 From: huajin.tang at gmail.com (Huajin Tang) Date: Sun, 3 Jun 2018 18:13:01 +0800 Subject: Connectionists: Last Call for Papers: 2018 IEEE Symposium on Neuromorphic Cognitive Computing Message-ID: 2018 IEEE Symposium on Neuromorphic Cognitive Computing 18-21 Nov 2018, BENGALURU, INDIA *Call for Papers:* The 2018 IEEE Symposium on Neuromorphic Cognitive Computing will be a part of the 2018 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018: http://ieee-ssci2018.org/). The symposium will provide an important platform for the researchers to exchange the ideas and to bring new theoretical and technical advances in neuromorphic cognitive computing, and in turn to benefit highly demanded application areas across neuromorphic engineering, neuromorphic circuits design, machine learning, cyborg intelligence, cognitive robotics, etc. *Important Dates: * Deadline of Paper Submissions (Final Extension): June 15, 2018 Notification to Authors: August 15, 2018 *Topics: * The topics include, but are not limited to: ? Neuromorphic computing ? Cognitive computing models ? Spiking neural networks (SNNs) ? STDP and spike-timing based learning ? Neuromorphic visual and auditory processing ? Brain-inspired data representation ? Neural coding ? Event based processing ? Deep learning for SNNs ? Neuromorphic systems for machine learning ? Spatiotemporal Spike Pattern Analysis ? Brain inspired model for sound, vision and speech ? Hardware implementation of SNNs ? FPGA or GPU accelerator for SNNs ? Neuromorphic sensors and devices ? Neuromorphic chips/hardware platforms ? SNN applications in machine learning ? Cyborg intelligence ? Cognitive robotics *Publications:* Accepted papers after peer-review will be published in the IEEE SSCI conference proceedings and online IEEExplore. *SNCC 2018 Chairs:* Prof. Huajin Tang, Sichuan University, China htang at scu.edu.cn Prof. Jeff Krichmar, University of California at Irvine, USA jkrichma at uci.edu Prof. Tiejun Huang, Peking University, China tjhuang at pku.edu.cn Dr. Garrick Orchard, National University of Singapore garrickorchard at nus.edu.sg -------------- next part -------------- An HTML attachment was scrubbed... URL: From christos.dimitrakakis at gmail.com Sat Jun 2 15:08:29 2018 From: christos.dimitrakakis at gmail.com (Christos Dimitrakakis) Date: Sat, 2 Jun 2018 21:08:29 +0200 Subject: Connectionists: Postdoctoral position in adversarial machine learning Message-ID: We are looking for a postdoctoral researcher to work on the problem of adversarial machine learning, with a focus on preventing attacks on computer vision and reinforcement learning algorithms. The postdoctoral researcher will collaborate with the national technical university of Singapore. The postdoc will be working with Christos Dimitrakakis (Reinforcement learning and decision making), Devdatt Dubhashi (algorithms and machine learning) and Frederik Kahl (computer vision). Beyond a solid machine learning background, experience with differential privacy, deep learning, robust statistics or game theory is also desirable. For more information see https://web103.reachmee.com/ext/I003/304/job?site=2&lang=EN&validator=a88010a77db86763b030e23bda1bd2ba&job_id=6319 -------------- next part -------------- An HTML attachment was scrubbed... URL: From piratepeel at gmail.com Mon Jun 4 05:49:19 2018 From: piratepeel at gmail.com (Leto Peel) Date: Mon, 4 Jun 2018 11:49:19 +0200 Subject: Connectionists: Fwd: Seventh Int. Conference on Complex Networks & Their Applications Cambridge, UK Dec. 11- 13, 2018 In-Reply-To: References: Message-ID: *Apologies for any cross postingSeventh Int. Conference on Complex Networks & Their Applications Cambridge, UK Dec. 11- 13, 2018http://www.complexnetworks.org You are cordially invited to submit your contribution until September 04, 2018.Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome.To submit your contribution visits the submission page . - Papers will be included in the conference proceedings edited by Springer - Extended abstracts will be published in the Book of Abstracts (with ISBN) - Extended versions will be invited for publication in special issues of international journals:- Computational Social Networks edited by Springer- Applied Network Science edited by Springer- Online Social Networks and Media edited by ElsevierSpeakers: Vittoria Colizza Inserm, FranceAristides Gionis Aalto University, FinlandHeather Harrington University of Oxford, UKSune Lehmann Technical University of Denmark, DenmarkHernan Makse City College of New York, USARomualdo Pastor-Satorras Universitat Polit?cnica de Catalunya, SpainMarkus Strohmaier RWTH Aachen Univeristy, GermanyDonald Towsley UMass Amherst, USATutorials: December 10, 2018Jes?s G?mez-Garde?es Univesity of Saragoza, SpainSilvio Lattanzi Google Zurich, SwitzerlandTopics include, but are not limited to: - Models of Complex Networks- Structural Network Properties and Analysis- Complex Networks and Epidemics- Community Structure in Networks- Community Discovery in Complex Networks- Motif Discovery in Complex Networks- Complex Networks Mining- Dynamics and Evolution Patterns of Complex Networks- Link Prediction- Multiplex Networks- Network Controllability- Synchronization in Networks- Visual Representation of Complex Networks- Large-scale Graph Analytics- Social Reputation, Influence, and Trust- Information Spreading in Social Media- Rumour and Viral Marketing in Social Networks- Recommendation Systems and Complex Networks- Financial and Economic Networks- Complex Networks and Mobility- Biological and Technological Complex Networks- Mobile call Complex Networks- Bioinformatics and Earth Sciences Applications- Resilience and Robustness of Complex Networks- Complex Networks for Physical Infrastructures- Complex Networks, Smart Cities and Smart Grids- Political networks- Supply chain networks- Complex networks and information systems- Complex networks and CPS/IoT- Graph signal processing- Cognitive Network Science- Network Medicine- Network Neuroscience- Quantifying success through network analysis- Temporal and spatial networks- Network EmbeddingGENERAL CHAIRSHocine Cherifi University of Burgundy, FrancePietro Lio University of Cambridge, UKRenaud Lambiotte University of Oxford, UKADVISORY BOARDJon Crowcroft University of Cambridge, UKRaissa D'Souza UC Davis, USAEugene Stanley Boston University, USABen Y. Zhao University of Chicago, USAPROGRAM CHAIRLuca Maria Aiello Nokia-Bell Labs, UKChantal Cherifi University of Lyon, FranceLuis M. Rocha Indiana University, USAPOSTER CHAIRSElsa Arcaute UCL, UKMarton Karsai ENS/INRIA Lyon, FranceJat Singh University of Cambridge, UKLIGHTNING CHAIRSSebastian Ahnert University of Cambridge, UKJean-Charles Delvenne UC Louvain, BelgiumHuijuan Wang TU Delft, NetherlandsTUTORIAL CHAIRSJinhu L? Chines Ac. Science, Bejing, ChinaEiko Yoneki University of Cambridge, UKSarah Morgan University of Cambridge, UKPUBLICITY CHAIRSCarlos Gershenson Universidad Nacional Aut?noma de M?xico , MexicoBruno Goncalves NYU, USALeto Peel UC Louvain, BelgiumFeng Xia Dalian University of Technology, ChinaINDUSTRY CHAIRSMichael Simmons University of Cambridge, UKAlexandra Brintrup University of Cambridge, UKPUBLICATION CHAIRSabrina Gaito (Universit? degli Studi di Milano, Italy* -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeanette at csc.kth.se Mon Jun 4 06:43:16 2018 From: jeanette at csc.kth.se (=?Windows-1252?Q?Jeanette_H=E4llgren_Kotaleski?=) Date: Mon, 4 Jun 2018 10:43:16 +0000 Subject: Connectionists: =?windows-1252?q?Combined_Postdoc_and_science_man?= =?windows-1252?q?ager_to_be_integrated_into_the_Human_Brain_Project_=96_D?= =?windows-1252?q?ata-driven_modeling_of_plasticity_combined_with_project_?= =?windows-1252?q?coordination?= Message-ID: <1528108996662.591@csc.kth.se> Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting a joint postdoc / science manager to be working within the Human Brain Project. Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic plasticity will be done. The first year also research coordination and management is an important challenge of the job. Position can be prolonged (up to maximally 2 or 4 years, the latter if one has received a PhD within the last 3 years). More info and how to apply at: https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:208384/where:4/ All the best, Jeanette Hellgren Kotaleski Prof, Dept Computational Science and Technolgy, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc777 at bu.edu Mon Jun 4 12:37:10 2018 From: marc777 at bu.edu (Marc Howard) Date: Mon, 4 Jun 2018 12:37:10 -0400 Subject: Connectionists: Scientific programmer position at Boston University Message-ID: Dear Connectionists, My lab at Boston University is hiring a scientific programmer to work with neurophysiological data. The overall goal of the position is to facilitate reuse of existing data and analysis code. On the data side, we have data from mice, rats, monkeys and humans (with a variety of recording techniques). We want to systematize these data formats so that they can all be analyzed with the same software. On the software side, we have existing software written in a variety of languages to analyze various things (mostly related to coding for space and time). We want to pull these pieces of software into a common library with versions in (at least) python and matlab. Other projects might be possible. A neuroscience background is not necessary, but would be a plus. Strong coding and technical skills are essential. This is an excellent opportunity to learn a lot of computational neuroscience in the context of a real job. Apply via the BU job postings: https://bu.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=302170 Please direct questions to marc777 at bu.edu Thanks, marc -- Marc Howard Center for Memory & Brain Department of Psychological and Brain Sciences Department of Physics Boston University http://sites.bu.edu/tcn/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mikarubi at gmail.com Mon Jun 4 14:22:02 2018 From: mikarubi at gmail.com (Mikail Rubinov) Date: Mon, 4 Jun 2018 14:22:02 -0400 Subject: Connectionists: Postdoc in Brain Network Analysis and Modeling at Vanderbilt University Message-ID: Dear Colleagues, The Rubinov lab at Vanderbilt University Biomedical Engineering (http://www.rubinovlab.net) analyzes and models brain networks across modalities, species and scales. Our research interests broadly include: 1) Integrative statistical models of big neuroscience networks. 2) Evolutionary principles of brain network organization. 3) Information transfer in neural systems. 4) Neuropsychiatric connectivity phenotypes. We are recruiting a motivated postdoctoral researcher to join our lab. The position will be based at the Department of Biomedical Engineering and will be supervised by Dr. Mika Rubinov. There will be opportunities to develop exciting research ideas at the intersection of systems neuroscience, evolutionary neuroscience, network science and data science, and to collaborate with leading investigators at Vanderbilt University and Janelia Research Campus (Howard Hughes Medical Institute). The successful applicant should be passionate about neuroscience and understanding the brain, have good programming skills, and a strong background in a quantitative discipline, including but not limited to network science, computational neuroscience, computational biology, mathematics, physics, computer science, or electrical engineering. Preference will be given to applicants with a good publication record and with experience in analysis of complex datasets. The applicant must have completed their PhD by the start of this position. The position will be initially for one year, with possibilities for yearly extensions subject to satisfactory annual reviews. The salary will be commensurate with the applicant?s experience and qualifications. Vanderbilt is an elite research university (https://www.usnews.com/best-colleges/vanderbilt-3535) located in Nashville, one of the hottest cities in the US today (http://www.visitmusiccity.com/media/rankings). Applicants are welcome to email Mika Rubinov for more details and information. Please submit the following application materials directly to mika.rubinov at vanderbilt.edu 1) A cover statement of the applicant?s fit for this position. 2) Curriculum Vitae. 3) A list of 2-3 key publications. 4) Contact details for 2-3 referees. Review of applications will begin immediately and will continue until the position is filled. https://www.nature.com/naturejobs/science/jobs/645613-postdoctoral-researcher-brain-networks Best regards, Mika From j.vandemeent at northeastern.edu Mon Jun 4 17:41:46 2018 From: j.vandemeent at northeastern.edu (Van De Meent, Jan-Willem) Date: Mon, 4 Jun 2018 21:41:46 +0000 Subject: Connectionists: CFP: PROBPROG 2018 - The International Conference on Probabilistic Programming Message-ID: PROBPROG 2018 The First International Conference on Probabilistic Programming https://probprog.cc # Dates and Location Conference Dates: Fri 5 - Sat 6 Oct 2018 Conference Location: Boston, MA, USA Submission Deadline: Fri July 13, 2018 11:59PM UTC # Keynote Speakers Intelligence track: Stuart Russell (UC Berkeley) Statistics and Data Analysis track: Dave Blei (Columbia University) Languages and Systems track: Jean-Baptiste Tristan (Oracle Labs) Practice of Probabilistic Programming track: Zoubin Ghahramani (University of Cambridge & Uber AI Labs) # Call for Submissions Deadline: Fri July 13, 2018 11:59 PM UTC. Submit at: https://cmt3.research.microsoft.com/PROBPROG2018/ The PROBPROG conference is dedicated to both probabilistic programming research and the practice of probabilistic programming. It welcomes submissions for research presentations, demonstrations, open-source systems, and participants in open discussions with industry. It includes four tracks for invited and contributed presentations: 1. Probabilistic Programming and Intelligence. 2. Probabilistic Programming for Statistics and Data Analysis. 3. Probabilistic Programming Languages and Systems. 4. The Practice of Probabilistic Programming. This first year, we are inviting submissions in the form of 2-page abstracts. Submissions should not be anonymized and will be lightly reviewed for technical correctness and topicality. Accepted submissions may be included in poster sessions, demos, or talk sessions. We are soliciting the following kinds of submissions: - Original research in probabilistic programming, including research that is under review. - Highlights of already-published probabilistic programming research, that could be of interest to the PROBPROG community, or would benefit from PROBPROG feedback. - Work that discusses the design and implementation of probabilistic programming systems, or the application of probabilistic programs. Community feedback at PROGPROG 2018 will inform the PROBPROG Steering Committee's decisions around when to create a peer-reviewed probabilistic programming journal and/or conference proceedings. # Diversity We are actively working to ensure that the PROBPROG conference is inclusive in the broadest sense. In particular, we encourage contributions from participants whose gender, sexual orientation, and/or ethnic identities are underrepresented in the field. We are at present in the process of drawing up a code of conduct. We welcome feedback from the community on policies and measures that help establish a venue that is welcoming to all participants. Please direct such suggestions and comments to . # Organizing Committee Vikash Mansinghka (MIT) Jan-Willem van de Meent (Northeastern University) Avi Pfeffer (Charles River Analytics) From mkaiser241 at gmail.com Tue Jun 5 02:55:55 2018 From: mkaiser241 at gmail.com (Marcus Kaiser) Date: Tue, 5 Jun 2018 07:55:55 +0100 Subject: Connectionists: Master programme in Neuroinformatics and Computational Neuroscience Message-ID: Dear all, Please forward the following to interested final year UG students. our one-year master degree program in Neuroinformatics and Computational Neuroscience at Newcastle University is now accepting student applications. The course focuses on handling brain connectivity datasets, analyzing electrophysiological recordings, and simulating neural activity and development. Applications range from theoretical neuroscience and machine learning to experimental and clinical research. There are more than a dozen faculty members in the areas of Neuroinformatics, Health Informatics, and Neurotechnology within Newcastle University (see overview at http://neuroinformatics.ncl.ac.uk/ ). Close interactions with experimental and clinical researchers are a key component of the course and the dissertation research project. Ongoing research areas in Newcastle include neuroimaging, psychophysics, systems neuroscience (visual, auditory, and motor system), ageing, neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips, and connectomics (http://www.ncl.ac.uk/ion ). Newcastle University hosts around 100 principal investigators in the neurosciences. You can find out more about the program and how to apply at http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscience-neuroinformatics-msc/#profile *COURSE OUTLINE* The MSc in Neuroinformatics is a full-time, one-year advanced masters course designed for students who have a good degree in the biological sciences or the physical sciences (computer science, mathematics, physics, engineering). It provides the specialist skills in core Neuroinformatics courses (such as computing and biology) with a significant focus on the development of research skills. Prior experience with computers or computer programming is not required. The program is ideal for students aiming for careers in industry or academia. The course is based in the School of Computing but there are strong links with biomedicine, engineering, and the Institute of Neuroscience. *WHY STUDY AT NEWCASTLE?* The MSc in Neuroinformatics is a truly interdisciplinary degree and provides the dual skills necessary to establish a rewarding career in this research area. The Newcastle program has a research focus on data management, network analysis (e.g. Kaiser, Neuroimage, 2011), and simulation. Newcastle is among the pioneers of the field in the UK and hosted the ?4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. We are currently involved in the ?10m EPSRC/Wellcome Trust-funded CANDO project for developing an implantable optogenetic device for epilepsy patients (http://www.cando.ac.uk/ ). Newcastle has strong links with the International Neuroinformatics Coordinating Facility (INCF). Currently, members of the faculty lead Neuroinformatics UK (http://www.neuroinformatics.org.uk/ ) and co-chair the Neuroinformatics Special Interest Group of the British Neuroscience Association (BNA). *COURSE CONTENT* Semester 1 contains modules to build the basic grounding in, and understanding of, Neuroinformatics theory and applications, mathematics and statistics, and programming. Semester 2 introduces modules that focus heavily on introducing subject-specific research skills and includes options for choosing modules. A major part of the programme is a research project that will occupy approximately six months. This project may be associated with staff in any of the Schools mentioned above, thus providing a wide range of exciting areas in which the newly learnt Neuroinformatics skills can be deployed. *HOW TO APPLY* Applications for this program are now being accepted. Please see http://www.ncl.ac.uk/postgraduate/courses/degrees/computational-neuroscience-neuroinformatics-msc/#profile for more information. Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE4 5TG UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics at Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ Neuroinformatics one-year master programme: http://research.ncl.ac.uk/neuroinformatics/study -------------- next part -------------- An HTML attachment was scrubbed... URL: From hausser at gmail.com Tue Jun 5 05:45:32 2018 From: hausser at gmail.com (Michael Hausser) Date: Tue, 5 Jun 2018 10:45:32 +0100 Subject: Connectionists: Neuropixels postdoc position at UCL Message-ID: We are seeking a highly motivated postdoctoral fellow for a project at the interface between neural circuits and behaviour in the Neural Computation Laboratory at University College London. The project involves using the revolutionary new ?Neuropixels? probes ( http://www.ucl.ac.uk/neuropixels) to make massively parallel recordings from large populations of neurons in the brains of awake behaving mice. The successful applicant will join a thriving multidisciplinary group ( http://www.dendrites.org/) which aims to understand how computations are implemented in single neurons and neural circuits to drive behaviour. Neuropixels recordings will be integrated with other techniques being used in the lab such as two-photon microscopy, two-photon optogenetics, and behavioral paradigms in virtual reality. Opportunities exist for collaborations with colleagues in computational neuroscience, engineering, computer science and other fields. UCL is based in central London, with the highest concentration of neuroscience researchers in the world. The successful applicant will be expected to take a leading role in all aspects of the project, from designing and performing experiments, developing technical advances, performing data analysis and presenting the results. The post is funded for 2 years in the first instance and is available immediately. You should apply for this post through UCL's online recruitment website: www.ucl.ac.uk/hr/jobs (Ref #: 1683637). Closing date for applications is *Friday 8th June 2018.* For informal inquiries please contact Michael Hausser (m.hausser at ucl.ac.uk). ---------------------------------------------------------- Michael Hausser Wolfson Institute for Biomedical Research University College London Gower Street London WC1E 6BT UK tel +44-20-7679-6756 email m.hausser at ucl.ac.uk http://www.dendrites.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alfredo.petrosino at uniparthenope.it Tue Jun 5 07:28:49 2018 From: alfredo.petrosino at uniparthenope.it (Alfredo Petrosino) Date: Tue, 5 Jun 2018 13:28:49 +0200 Subject: Connectionists: PhD Position in Deep Neural Learning for Data Analysis/Computer Vision - CVPRLab Naples, ITALY Message-ID: <1e9bab20-2202-bcd2-3903-5d96aaa5ec2f@uniparthenope.it> PhD Position in Deep Neural Learning for Data Analysis/Computer Vision CVPRLab (http://cvprlab.uniparthenope.it) We are seeking candidates for a fully fundend three-year PhD position for 'Deep Neural Learning for Data Analysis/Computer Vision' provided by the Universit? degli studi di Milano, starting October 2018. The applicant should have a background in machine learning and neural networks methodologies with a keen interest in image analysis/computer vision, with a very good?first degree in computer science, engineering, maths, physics, or a related discipline. The research activity will take place at the CVPRLab (http://cvprlab.uniparthenope.it) in Naples, Italy, a research laboratory raised at the University of Naples Parthenope (https://www.uniparthenope.it) and as joint initiative with National Interuniversity Consortium for Informatics (CINI) (https://www.consorzio-cini.it/index.php/en/). Interested candidates must apply for the PhD grant following the instructions in the call published by Universit? degli studi di Milano (see the application webpage http://www.unimi.it/ENG/admission/92328.htm ). Applications will be assessed on a rolling basis. Deadline for the formal application is *June 14, 2018, hrs. 2.00 PM* (Italian time, GMT +2) The Teaching committee requires that from 1 to 3 reference letters, drawn up according to Form 2 attached hereto, be sent by email to phdcomputerscience at di.unimi.it CV and research project assessment outcome is available from 29 June 2018 on the website http://dottorato.di.unimi.it/ Examination schedule: Interview will start at 9.30am on 3 September 2018 at Dipartimento di Informatica (3rd floor meeting room) ? via Celoria no. 18 - 20133 Milan. The interview will be held in English. The calendar with dates, times and places of interviews and the title of the candidate?s project will be published on the website http://dottorato.di.unimi.it/. If you?re interested to apply, please email your CV, a brief statement of your scientific interests, and reference letters to prof. Alfredo Petrosino (petrosino at uniparthenope) by*June 11, 2018 **or**apply following the guidelines by * *June 14, 2018, hrs. 2.00 PM.* For further information on the position and the application process refers to the following link http://www.unimi.it/cataloghi/unicom/PhD%20Call%20for%20Notice__XXXIV_cycle.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruna at cims.nyu.edu Tue Jun 5 12:29:56 2018 From: bruna at cims.nyu.edu (Joan Bruna Estrach) Date: Tue, 5 Jun 2018 18:29:56 +0200 Subject: Connectionists: 1st KDD Deep Learning Day, August 20th, London: Call for Papers Message-ID: <809CF283-F471-4BBA-9F0A-853DBBE68B82@cims.nyu.edu> KDD 2018 Deep Learning Day Call for Papers KDD Deep Learning Day aims to provide an opportunity for participants from academia, industry, government and other related parties to present and discuss novel ideas on current and emerging topics relevant to deep learning. The KDD Deep Learning Day provides a single big plenary schedule with exciting invited speakers and leaders from both academia and industry, paper spotlight presentations, and a poster session. We wish to exchange ideas on recent approaches to the challenges related to deep structures, identify emerging fields of applications for such techniques, and provide opportunities for relevant interdisciplinary research or projects. ?- Submission Information?- Submission Website: https://easychair.org/conferences/?conf=dlday18? The submitted manuscripts must be formatted according to the Standard ACM Conference Proceedings Template. The maximum length of papers is 10 pages in this format?shorter papers are also welcome. The paper submission should be in PDF. The accepted papers will be published on the workshop?s website, and will not be considered archival. This is intended to help preserve the authors? ability to submit a revised version of their paper to a conference or journal. All submissions should clearly present the author information including the names of the authors, the affiliations and the emails. Authors of all accepted papers must prepare a final version for publication and a poster for presentation. At least one author of each accepted paper is required to present their work in the poster session at the workshop. ?- Topics of Interest?- Topic areas for the workshop include (but are not limited to) the following: Unsupervised, semi-supervised, and supervised representation learning on various kinds of data (images, text, graphs, time series, etc.) Interpretable deep learning Hierarchical models Reinforce learning Optimization for deep learning Multimodal deep learning Theory of deep learning Applications in vision, audio, speech, natural language processing, and human computer interaction Applications in healthcare analytics and neuroscience Applications in social computing, fraud detection, or any other field ?- Important Dates?- Workshop paper submissions: July 1st, 2018 Paper acceptance notifications: July 15th, 2018 Camera-ready submission: August 1st, 2018 ?- General Chairs?- Anima Anandkumar, Caltech/Amazon Jure Leskovec, Stanford/Pinterest Joan Bruna, NYU ?- Program Chairs?- Xia ?Ben? Hu, Texas A&M University Yuxiao Dong, Microsoft Research More information at http://www.kdd.org/kdd2018/calls/view/kdd-2018-deep-learning-day-call-for-papers http://www.kdd.org/kdd2018/deep-learning-day -------------- next part -------------- An HTML attachment was scrubbed... URL: From felix.putze at uni-bremen.de Tue Jun 5 13:57:59 2018 From: felix.putze at uni-bremen.de (Felix Putze) Date: Tue, 5 Jun 2018 19:57:59 +0200 Subject: Connectionists: PhD student position on "Brain-Computer Interfaces for Attention-driven Augmented Reality Interfaces" at the University of Bremen, Germany Message-ID: <269ffd7d-abbe-1190-e9a6-60124362f9a6@uni-bremen.de> At the Cognitive Systems Lab, University of Bremen, Germany, we offer a fully funded reseach assistant position (36 months) for a PhD student on the topic "Brain-Computer Interfaces for Attention-driven Augmented Reality Interfaces". Topic: Augmented reality (AR) glasses enable the embedding of visual content in a real scene. In the project ?Brain-Computer Interfaces for Attention-driven Augmented Reality Interfaces?, we will implement user interfaces which adapt to the user, for example by avoiding distractions or directing the user?s attention towards missed information. For this purpose, the user?s attention is captured from sensor data (via EEG and eye tracking) and modeled with machine learning techniques. Building on existing models and interfaces, the task is to build models for estimation of a person?s attention from fusion and classification of multimodal data streams and context information as well as their evaluation in user studies. An additional task is to develop prototypical user interfaces for AR glasses and to test their usability. Furthermore, the position involves a small teaching load in the context of Human-Computer Interaction and machine learning. To apply, send your CV, a motivation letter, and relevant certificates to felix.putze at uni-bremen.de no later than June 22nd. You can also contact my by e-mail if you have any questions regarding the position. More information can also be found in the official job posting at: https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies/details-job-vacancies/joblist/Job/show/1-x-10-wissenschaftliche-r-mitarbeiter-in-4922.html Best regards, Felix Putze -- Dr.-Ing. Felix Putze E-Mail: felix.putze at uni-bremen.de Phone: +49 421 218 64272 University of Bremen Cognitive Systems Lab (CSL) Enrique-Schmidt-Stra?e 5 (Cartesium) 28359 Bremen From angelo.ciaramella at uniparthenope.it Tue Jun 5 16:32:35 2018 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Tue, 05 Jun 2018 22:32:35 +0200 Subject: Connectionists: CIBB2018 - extended submission deadline Message-ID: <20180605223235.Horde.9MEal5pLIiwmiOw72stWNA1@webmail.uniparthenope.it> Apologize for multiple posting. Call for Papers ------------------------------------------------------------------------------- CIBB2018 15th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics Caprica, Portugal, 6-8 September 2018? http://eventos.fct.unl.pt/cibb2018 ------------------------------------------------------------------------------- The main goal of the CIBB international conference is to provide a multi-disciplinary forum open tofor researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also of particular interest are, looking at current trends and future opportunities at the edge of computer and life sciences, together with the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great interest for the conference. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2018 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Topics of interest include, but are not restricted to: # Next generation sequencing bioalgorithms # Multi-omics data analysis # High dimensional statistical analysis of omics data # Algorithms for alternative splicing analysis # Algorithms for molecular evolution and phylogenetic analysis # Methods for the visualization of high dimensional complex omic data # Software tools for bioinformatics? # Methods for comparative genomics # Methods for functional classification of genes # Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data? # Health-Informatics and Medical Informatics # Methods for the integration of clinical and genetic data # Heterogeneous data integration and data fusion for diagnostics # Algorithms for pharmacogenomics # Biomedical text mining and imaging # Methods for diagnosis and prognosis within personalized medicine # Statistical methods for the analysis of clinical data? # Prediction of secondary and tertiary protein structures # Mass spectrometry data analysis in proteomics # Algorithms for molecular evolution and phylogenetic analysis # Bio-molecular databases and data mining? # Mathematical modeling and automated reasoning on biological and synthetic systems # Computational simulation of biological systems # Methods and advances in systems biology # Spatio-temporal analysis of synthetic and biological systems # Network systems biology #?Models for cell populations and tissues # Methods for the engineering of synthetic components # Modelling and engineering of interacting synthetic and biological systems # Software tools for bioinformatics, biostatistics, systems and synthetic biology GENERAL CHAIRS -------------- Maria Raposo, Universidade Nova de Lisboa, Portugal Paulo Lisboa, Liverpool John Moores University, U.K. Giorgio Valentini, Universit? degli Studi di Milano, Italy? BIOSTATISTICS TECHNICAL CHAIR ----------------------------- Chiara Brombin, Universit? Vita-Salute San Raffaele, Italy BIOINFORMATICS TECHNICAL CHAIR ------------------------------ Angelo Ciaramella, Universit? degli Studi di Napoli "Parthenope", Italy IMPORTANT DATES --------------- ? Paper submission deadline: 24 June 2018 ? Acceptance notification: 9 July 2018 ? Author registration due: 20 July 2018 ? Camera ready due: 29 July 2018 Conference: 6-8 September 2018 ? SUBMISSION WEBSITE ------------------ The submission website is http://www.easychair.org/conferences/ PUBLICATION ----------- Pdf versions of accepted papers will be distributed at the conference. At least one author of an accepted paper is required to register and present their paper at the conference.? Authors of accepted papers will be invited to submit an extended version of their work to a post-conference monograph.? We plan to invite all papers for a volume in the Springer series of Lecture Notes in Bioinformatics (LNBI). Continuing the tradition of CIBB, we are also planning to invite the best papers, as an alternative to the publication on LNBI, to a special issue of an international scientific journal (such as BMC Bioinformatics, as in the latest editions). TUTORIALS AND SPECIAL SESSIONS ------------------------------ CIBB 2018 will run a number of Tutorials and Special Sessions. Any topic of interest for the conference is eligible for a tutorial. Tutorials typically last from one to three hours. Special sessions focus on a specific, possibly cutting-edge, topic of interest for CIBB 2018. Special session organisers will be responsible for call dissemination, the reviewing process and organizing oral presentations. Typically, a special session will have at least 4 accepted papers and may have an invited speaker (to be negotiated). From rosemary.nan.ke at gmail.com Tue Jun 5 21:27:05 2018 From: rosemary.nan.ke at gmail.com (Rosemary Ke) Date: Tue, 5 Jun 2018 21:27:05 -0400 Subject: Connectionists: Call for papers: ICML 2018 Credit Assignment in Deep Learning and Deep RL Workshop Message-ID: Hi, *I?d like to share the call for papers for our ICML 2018 Workshop on Credit Assignment in Deep Learning and Deep Reinforcement Learning (ECA at ICML). It?s a workshop on alternative and efficient credit assignment methods in DL and DRL. Openreview link: **https://openreview.net/group?id=ICML.cc/2018/ECA . Workshop website: https://sites.google.com/view/creditassignmentindlanddrl/home * *TLDR:* We are interested in submissions that deal with the issue of credit assignment: how the parameters, actions, or states of a system can be changed to produce some downstream effect. The work can be experimental, analytical, or theoretical. We are also open to work in progress. Synthetic Gradients, Sparse Attentive Backtracking, Equilibrium Propagation and UORO are examples of the kinds of work that we'd consider to be highly relevant We welcome submissions related to the following topics: - Alternatives to Backpropagation for training deep networks - New ways of assigning credit to actions in reinforcement learning (e.g. temporal difference learning, eligibility traces) - Biologically plausible methods for learning - Exploration of the properties of credit assignment through gradient descent. We also identify several pieces of previous work related to credit assignment: - Synthetic Gradients - Sparse Attentive Backtracking - Equilibrium Propagation - Unbiased Online Recurrent Optimization (UORO) - Evolution Strategies We will accept both short paper (4 pages) and long paper (8 pages) submissions (not including references). Submissions should be in the NIPS 2017 format . A few papers may be selected as oral presentations, and the other accepted papers will be presented in a poster session. There will be no proceedings for this workshop, however, upon the author?s request, accepted contributions will be made available in the workshop website. Submission are single-blind, peer-reviewed on OpenReview (https://openreview.net/group? id=ICML.cc/2018/RML ), and open to already published work. *Paper Submission Deadline: June 15th* *Website*: https://sites.google.com/view/creditassignmentindlanddrl/home Best, ICML 2018 ECA workshop organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Jun 6 08:54:07 2018 From: Pavis at iit.it (Pavis) Date: Wed, 6 Jun 2018 12:54:07 +0000 Subject: Connectionists: Open PhD call 2018 - Italian Institute of Technology (Pattern Analysis & Computer Vision, PAVIS) and University of Genova [Jobs] In-Reply-To: <750a73e128df447c97d3799400e24b47@iit.it> References: , , <0f32feda87a746e58f08a53acff9abdd@iit.it>, <750a73e128df447c97d3799400e24b47@iit.it> Message-ID: PhD Call for Applications 2018 - Italian Institute of Technology - Pattern Analysis & Computer Vision (PAVIS) and University of Genova PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONICS AND TELECOMMUNICATION ENGINEERING, curriculum in "COMPUTATIONAL VISION, PATTERN RECOGNITION AND MACHINE LEARNING (CODE 6654)" Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2018 Doctoral Course on Sciences & Technologies for Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning (www.iit.it/phd-school). 6 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes (for details see https://pavisdata.iit.it/data/phd/ResearchTopics2018_IIT-PAVIS.pdf): Theme A: Computer vision for behavioral analysis and activity recognition Theme B: Computer vision for the prediction of human intentions and activities Theme C: Human body modeling for Socially-Aware Computer Vision Theme D: Crowd behavioral analysis and event recognition Theme E: Re-identification Theme F: Multi-modal scene understanding Theme G: Biomedical imaging Theme H: Animal behavior analysis More info on the above research topics can be found at https://pavisdata.iit.it/data/phd/ResearchTopics2018_IIT-PAVIS.pdf or directly asked to Prof. V. Murino (pavis at iit.it), or any other tutor indicated in the list of themes. The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (mainly related to surveillance/security and biomedical tasks). For more information, you can also browse the PAVIS webpages to see our activities and research at http://pavis.iit.it/ To apply, follow the instructions indicated at this link: https://www.studenti.unige.it/postlaurea/dottorati/XXXIV/ In short, the documentation to be submitted is a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate_2018.pdf ONLINE APPLICATION DEADLINE is June 12th, 2018 at 12:00 p.m. (noon, Italian time/CET) - STRICT DEADLINE, NO EXTENSION. APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - https://www.studenti.unige.it/postlaurea/dottorati/XXXIV/ FURTHER INFO HERE: https://unige.it/usg/it/dottorati-di-ricerca AND HERE FOR FOREIGN STUDENTS: https://unige.it/usg/en/phd-programmes -------------- next part -------------- An HTML attachment was scrubbed... URL: From carlo.colombo at unifi.it Wed Jun 6 09:01:25 2018 From: carlo.colombo at unifi.it (Carlo Colombo) Date: Wed, 6 Jun 2018 15:01:25 +0200 Subject: Connectionists: Call for TUTORIALS 3DV 2018 - 6th Int'l Conf. on 3D Vision - Verona (Italy) - DEADLINE 15 JUNE 2018 Message-ID: ************************************************** 3DV 2018 TUTORIALS - Apologies for multiple posting. Please distribute this call to interested parties. ************************************************** CALL FOR TUTORIALS - 3DV 2018, VERONA, ITALY The International Conference on 3D Vision (3DV 2018) to be held in Verona, Italy will host tutorials on topics related to 3D research in Computer Vision. Tutorials will take place the 8th of September with both half (max 4 hours) and full day (max 8 hours) options. Topics should be relevant to the current state of the art in 3D vision and providing surveys and new perspective to this very active research area. Attendance will be mainly based by graduated students and experts in the field from both academic and industry sectors. Important dates --------------- Tutorial proposal deadline: June 15th, 2018 Acceptance notification: July 1st, 2018 Instructions ------------ Tutorial proposals should be submitted by email to 3dv18tutorials at 3dv.org with a brief description (no more than two A4 pages) containing the following information: - Tutorial title and length (half or full day) - Organisers' names, titles, affiliations and email contact - A short bio of the tutorial's presenters - A short summary of the tutorial together with a syllabus of the topics - A description on how the tutorial is relevant to 3DV 2018 and previous experience in tutorial organisation The proposals will be evaluated by the tutorial chair and the conference organisers based on their technical quality, relevance and timeliness of the topic and quality of the proposal. For any further information please contact: 3dv18tutorials at 3dv.org --- from: Prof. Carlo Colombo - Publicity Chair, 3DV 2018 Computational Vision Group @ University of Florence, Italy --- Questa e-mail ? stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus From antonioj.rodriguezsanchez at gmail.com Thu Jun 7 05:25:45 2018 From: antonioj.rodriguezsanchez at gmail.com (Antonio Rodriguez-Sanchez) Date: Thu, 7 Jun 2018 11:25:45 +0200 Subject: Connectionists: PhD Position, University of Innsbruck (Austria) Message-ID: <6D82D7F0-216B-4831-97C4-48926D9677EB@gmail.com> Ph.D. Student Position in Robot Learning or Computer Vision at U. Innsbruck The research group in Intelligent and Interactive Systems , led by Profs. Justus Piater and Antonio Rodr?guez-S?nchez, has an opening for a Ph.D. student, on a university assistant position that includes minor teaching requirements. The research will be loosely aligned with ongoing research projects in the lab: deep learning in computer vision or robotics computational models of biological vision biologically-inspired computer vision robot vision and closed-loop sensorimotor interaction open-ended and intrinsically-motivated robot learning concept discovery by learning robots goal-oriented exploratory learning prediction of action effects robot skill optimization human-robot interaction and collaboration How to Apply Interested applicants should send a letter of motivation, a curriculum vitae including URLs of English-language theses and dissertations, scanned transcripts and diplomas, and contact information of at least two references in PDF to Justus.Piater at uibk.ac.at . Applications will be considered as they are received, until all positions are filled. Starting date is October 2018 or earlier. More details on https://iis.uibk.ac.at/jobs Priv. Doz. Antonio Rodr?guez-S?nchez, PhD Intelligent and Interactive Systems Dept. of Computer Science - Institut f?r Informatik University of Innsbruck - Universit?t Innsbruck Austria ? ?sterreich https://iis.uibk.ac.at/public/antonio/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mfasli at essex.ac.uk Thu Jun 7 06:36:10 2018 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Thu, 7 Jun 2018 10:36:10 +0000 Subject: Connectionists: Big Data and Analytics Summer School, University of Essex, UK Message-ID: <4E073E57-0767-40D4-87B5-9C202CFEEF8E@essex.ac.uk> ESSEX BIG DATA AND ANALYTICS SUMMER SCHOOL INSTITUTE FOR ANALYTICS AND DATA SCIENCE 23 July ? 3 August 2018 | University of Essex, United Kingdom www.iadssummerschool.com The Institute for Analytics and Data Science is running its fourth annual Big Data and Analytics Summer School this Summer 2018. The Big Data and Analytics Summer School is a multidisciplinary research training event and forum for knowledge exchange and networking for graduates, postgraduates, researchers and professionals in the emerging fields of data science, analytics and big data who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field. Join leading academics, data scientists, and engineers from around the world to explore the latest in this area. With course providers and speakers attending worldwide, immerse yourself and network with influential data science leaders from organisations including Microsoft, BT, Micro Focus, Celtra, and more. Our great value registration package includes a variety of courses, recommended pathways, certification, exclusive attendance to keynote events, access to our unique IADS Speed Dating event, and all-inclusive tickets to our Evening Reception and Formal Dinner. Courses This is the fourth year that the Big Data and Analytics Summer School is running and following the successful events in previous years, the programme covers a range of topics from advanced techniques and methods including artificial intelligence and statistical methods, to applications of big data and data science. Courses are offered for participants with a science, social science or humanities background at different levels (Beginners, Intermediate or Advanced). Courses range from theoretical to lab-based or a mixture of theory and lab-based instruction and practice. We accept applicants from all levels and experience of analytics and data science. Whether you are just exploring the field, or have advanced practice, we have a range of introductory, intermediate, and advanced courses to suit your needs. You can view the full programme on our website here (https://www.iadssummerschool.com/). How to apply Head over to our website (https://www.iadssummerschool.com/) where you can fill out a short application form. Once accepted, we?ll give you a detailed course list, enrolment form, and payment instructions to confirm your place. Spaces in the various courses are allocated on a first come first served basis and are limited, so early registration is advised to avoid disappointment and take advantage of the early registration discount. Be sure to register before 20th June to take advantage of discounted early-bird rates. Registration closes on Thursday 19 July 2018 at 5PM GMT. Questions? If you have any queries, contact our IADS Executive Officer, Shaaba Lotun, who is always happy to help! iadssum at essex.ac.uk Professor Maria Fasli PhD, NTF, FHEA Director, ESRC Business and Local Government Data Research Centre UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk Follow us on Twitter @MariaFasli; @EssexIADS -------------- next part -------------- An HTML attachment was scrubbed... URL: From falk.lieder at berkeley.edu Thu Jun 7 14:43:02 2018 From: falk.lieder at berkeley.edu (Falk Lieder) Date: Thu, 7 Jun 2018 11:43:02 -0700 Subject: Connectionists: 3 Postdoc/PhD Student Positions in ML/AI for Rationality Enhancement Message-ID: The newly established Max Planck Research Group for Rationality Enhancement , headed by Dr. Falk Lieder at the Max Planck Institute for Intelligent Systems in T?bingen, Germany, is looking Postdocs and Ph.D. students for three projects that integrate approaches from machine learning, computational cognitive science, and artificial intelligence to develop intelligent systems that augment people's cognitive capabilities. *1. Postdoc and/or Ph.D. Student Position in Metacognitive Learning / Program Induction*: The goals of the first project are to 1) reverse-engineer the learning algorithms through which people discover and continuously refine their highly efficient algorithms for planning, reasoning, and decision-making, and 2) develop automatic methods for discovering optimal heuristics and general principles of good decision-making. For more information, please see the official job ad at https://is.tuebingen.mpg.de/jobs/postdoc-or-phd-student-in-metacognitive-learning-program-induction-m-f . *2. Ph.D. Student and/or Postdoc Position in Developing Cognitive Tutors*: The primary goal of this project is to develop intelligent systems that teach people optimal cognitive strategies for decision-making, planning, reasoning, and problem-solving. Our approach combines computational models of cognitive skill acquisition with state-of-the-art methods from artificial intelligence and machine learning. For more information, please see the official job ad at *https://is.tuebingen.mpg.de/jobs/phd-student-or-postdoc-in-developing-cognitive-tutors-m-f * *3. Ph.D. Student and/or Postdoc Position in Developing Cognitive Prostheses*: At the beginning of this project, you will be working with a web-developer to create a to-do list gamification app for helping people overcome procrastination and achieve their goals. You will evaluate alternative versions of this cognitive prosthesis in field experiments. Later on in this project, you will develop additional cognitive prostheses for goal setting and/or decision support. For more information, please see the official job ad at https://is.tuebingen.mpg.de/jobs/phd-student-or-postdoc-in-cognitive-prostheses-m-f . *The Max Planck Institute for Intelligent Systems* The Max Planck Research Group for Rationality Enhancement is part of the MPI for Intelligent Systems in T?bingen, Germany. The institute is a world-class center for foundational research in machine learning, computer vision, robotics, and material science. We are part of the Cyber Valley Initiative that is bringing new research groups, professorships, and industry partners to T?bingen and Stuttgart. The majority of the institute?s scientific employees come from outside of Germany. You will work among gifted students and experienced scientists from all over the world; and have access to excellent infrastructure, including several regular series of tutorials, lectures, journal clubs and invited talks by international guests, as well as a large computer cluster, and dedicated full-time specialists. The working language at the institute is English. *T?bingen* T?bingen is a scenic medieval university town, cradled in what is simultaneously one of Germany?s most beautiful landscapes one of Europe?s most economically successful areas. Stuttgart airport is an hour by bus, Frankfurt airport can be reached in two hours by train. Most locals speak English and knowledge of German is not required to live here. If you have any questions or suggestions, then please don't hesitate to email Dr. Falk Lieder (falk.lieder at gmail.com). Please help spread the word by forwarding this email to individuals or groups who might be interested. ---- Falk Lieder, Ph.D. https://sites.google.com/site/falklieder/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Thu Jun 7 12:37:45 2018 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Thu, 7 Jun 2018 17:37:45 +0100 Subject: Connectionists: [DEADLINE EXTENSION] Neural-Symbolic Learning and Reasoning (NeSy) 2018 @ HLAI 2018: Full paper submission by June 18, 2018 Message-ID: == Neural-Symbolic Learning and Reasoning (NeSy) 2018 @ HLAI 2018 == Executive Summary: - What: 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning - When: August 23/24, 2018 - Where: Prague, CZ - Website: http://www.neural-symbolic.org/NeSy18/ - Collocated with: Human-Level AI 2018 (https://www.hlai-conf.org/) == EXTENDED DEADLINE == The submission deadline for full papers has been extended by one week, i.e., until June 18, 2018. == Keynote Speakers == - Hava Siegelmann, DARPA & University of Massachusetts Amherst. - Paul Smolensky, Johns Hopkins University & Microsoft Research - Luciano Serafini, Fondazione Bruno Kessler. - Thomas Lukasiewicz, University of Oxford - Simo Dragicevic, CEO, BetBuddy Ltd. == The Event == Artificial Intelligence researchers continue to face huge challenges in their quest to develop truly intelligent systems. The recent developments in the field of neural-symbolic integration bring an opportunity to integrate well-founded symbolic artificial intelligence with robust neural computing machinery to help tackle some of these challenges. The Workshop on Neural-Symbolic Learning and Reasoning is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to neural-symbolic integration. Topics of interest include but are not limited to: - The representation of symbolic knowledge by connectionist systems; - Neural Learning theory; - Integration of logic and probabilities, e.g., in neural networks, but also more generally; - Structured learning and relational learning in neural networks; - Logical reasoning carried out by neural networks; - Integrated neural-symbolic approaches; - Extraction of symbolic knowledge from trained neural networks; - Integrated neural-symbolic reasoning; - Neural-symbolic cognitive models; - Biologically-inspired neural-symbolic integration; - Applications in robotics, simulation, fraud prevention, natural language processing, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc. == Presentation == Accepted full and late breaking papers will be presented during the workshop. The workshop will include extra time for discussion of the presentations allowing the group to have a better understanding of the issues, challenges, and ideas being presented. == Publication == Accepted full papers will be published in a post-workshop volume of the IfCoLog Journal of Applied Logic (JAL). For the inclusion of accepted late breaking papers, a second in-depth review will be required following the workshop. == Submission Format == Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere: Authors of contributed papers are encouraged to use the LaTex article style, a 12pt font, and to submit a paper with no more than 12 pages plus references. Papers should be submitted as electronic attachments in pdf format by email to the College Publications managing director, Ms Jane Spurr (jal at kcl.ac.uk). The email message should include the author(s) names and affiliations, the title of the paper and the name of the NeSy'18 co-chair best suited to handle the submission. Please use the phrase "NeSy18 JAL submission" in the subject line. == Important Dates == Deadline for full paper submission (EXTENDED): June 18, 2018 Notification of acceptance/rejection (full papers): July 5, 2018 Deadline for late breaking paper submission: August 1, 2018 Notification of acceptance/rejection (late breaking papers): on continuous basis, latest by August 8, 2018 Workshop dates: August 23-24, 2018 == Additional Information == General questions concerning NeSy'19 should be addressed to Tarek R. Besold at Tarek-R.Besold at city.ac.uk. -------------- next part -------------- An HTML attachment was scrubbed... URL: From luigi.malago at gmail.com Thu Jun 7 19:37:58 2018 From: luigi.malago at gmail.com (=?UTF-8?Q?Luigi_Malag=C3=B2?=) Date: Fri, 8 Jun 2018 02:37:58 +0300 Subject: Connectionists: Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST Message-ID: =========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 30 June 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project ?Riemannian Optimization Methods for Deep Learning?, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-lea rning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malag? , principal investigator of the DeepRiemann project. Application deadline: 30 June 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malag? -------------- next part -------------- An HTML attachment was scrubbed... URL: From hbilen at ed.ac.uk Thu Jun 7 15:38:07 2018 From: hbilen at ed.ac.uk (Hakan Bilen) Date: Thu, 7 Jun 2018 20:38:07 +0100 Subject: Connectionists: Postdoc in computer vision and machine learning at University of Edinburgh Message-ID: <67c58866-b52c-9e20-744d-c2fc687bc2da@ed.ac.uk> Hi, Can you please post the position below? Cheers, Hakan > Postdoc in computer vision and machine learning at the University of > Edinburgh > > We are currently seeking a postdoc to work in a project in the area of > visual recognition and scene understanding with a focus on multi-task > learning. The project will be supervised by Dr Hakan Bilen. > > Applicants should hold a PhD in computer Vision, machine learning, or > closely related area. A strong research record is required, documented > by publications at the top computer vision (CVPR, ICCV, ECCV) and/or > machine learning conferences (NIPS, ICLR, ICML) and journals (PAMI, > IJCV). We are looking for a highly motivated individual who enjoys > working in an international academic research environment. Good > communication skills and fluency in English, both written and spoken, > are required. > > - Starting date: October 2018 or later > - Duration: Two years > - Closing date: July 6, 2018 > - Salary: Grade 7: ?31,604 - ?38,833 p.a. > > The School of Informatics at Edinburgh is one of the top-ranked > Computer Science departments in Europe and offers an exciting research > environment. Edinburgh is a beautiful historic city with a high > quality of life. > > Please send applications to the email address below with the title > [Postdoc Candidate], including: > - a brief statement of research interests (describing how past > experience and future plans fit with the advertised position) > - complete CV, including list of publications > - the names and email addresses of two references > > Website: http://homepages.inf.ed.ac.uk/hbilen/vacancies/index.html > Email: hbilen at ed.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From dorien.herremans at gmail.com Fri Jun 8 06:45:32 2018 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Fri, 8 Jun 2018 18:45:32 +0800 Subject: Connectionists: Postdoc & Eng. job opening in affective computing for video/music. MIT-SUTD IDC center Singapore Message-ID: *Dear community, We are excited to announce the following job openings for a new SUTD-MIT Project on emotion recognition in video and audio, start date is as soon as possible. We are seeking a postdoctoral fellow and a research engineer to work on an affective computing research project related to emotion recognition for videos and music. The PIs of the project include Prof. Gemma Roig, Prof. Dorien Herremans, and Dr. Kat Agres. The position is for one year extendable to 2 years. Postdoctoral fellow:MIT-SUTD International Design Center at Singapore University of Technology and DesignKey requirements for the position: - PhD in computer Science, applied mathematics or related fields.- Strong record of publication record in tier 1 conferences and journals- Strong knowledge in machine learning (deep learning, RNN, LSTMs) - Excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries- Experience in video processing,- Experience in audio and/or music processing,- Knowledge of high performance distributed computing.Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar [at] mit [dot] edu. Include CV, 3 selected publications, grades and email address of at least 1 reference. Please include in the email subject: [IDC postdoc].Research AssistantMIT-SUTD International Design Center at Singapore University of Technology and DesignKey requirements for the position: - Master in computer science, master in applied mathematics, or in related fields- strong knowledge in machine learning (deep learning, RNN, LSTMs) - excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries- experience in video processing,- experience in audio and/or music processing,- knowledge of high performance distributed computing.Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar [at] mit [dot] edu. Include CV, 1 selected publication, grades and email address of at least 1 reference. Please include in the email subject: [IDC RA]--The Singapore University of Technology and Design is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. SUTD is established to advance knowledge and nurture technically-grounded leaders and innovators to serve societal needs, with a focus on Design, through an integrated multidisciplinary curriculum and multidisciplinary research.The official language at SUTD (and Singapore) is English. When moving to Singapore, you can expect a very high quality of life, futuristic buildings, tropical climate, excellent food and a perfect base for exploring South East Asia.* -- Dorien Herremans, PhD Assistant Professor http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.202-17 Special Issue on Deep Learning for Music and Audio in Springer's Neural Computing and Applications -------------- next part -------------- An HTML attachment was scrubbed... URL: From C.Campbell at bristol.ac.uk Fri Jun 8 08:04:45 2018 From: C.Campbell at bristol.ac.uk (Colin Campbell) Date: Fri, 8 Jun 2018 12:04:45 +0000 Subject: Connectionists: PhD in Bioinformatics/Machine Learning Message-ID: PhD studentship in Bioinformatics We are advertising a PhD studentship in bioinformatics. The applicant should have strong mathematical and computational skills and be interested in the application of these techniques within genomic medicine. An ongoing theme has been the development of integrative classifiers for predicting the functional impact of human genetic variation i.e. if variation is pathogenic (a disease-driver) or neutral (see e.g. fathmm.biocompute.org.uk, cscape.biocompute.org.uk). We are very interested in using bioinformatics and machine learning methods to find disease subtypes via unsupervised learning, find variants acting as disease-drivers, predict course of disease, predict response to treatment and find drug targets, for example. A major objective of the project will be to work with Prof. Moin Saleem and his team to use these methods to identify disease-drivers responsible for nephrotic syndrome and chronic kidney disease and to further our understanding and ability to treat these diseases. Applicants for the studentship should have strong mathematical and computational skills and experience in Python, R and other programming languages would be useful, but not required. The student will be based within the Intelligent Systems Laboratory of the University of Bristol and will work with Dr. Colin Campbell (Intelligent Systems Laboratory) and Dr. Tom Gaunt (MRC IEU Bioinformatics Lead), in addition to Prof. Moin Saleem. Useful links: Dr. Colin Campbell: https://seis.bristol.ac.uk/~enicgc/index.htm Prof. Moin Saleem: http://www.bristol.ac.uk/clinical-sciences/people/moin-saleem/index.html Dr. Tom Gaunt: http://www.bristol.ac.uk/social-community-medicine/people/tom-r-gaunt/ Intelligent Systems Laboratory: https://intelligentsystems.bristol.ac.uk/ The deadline is: Monday 18th June by 9am Student application Furher deatils about the application process are available at: http://www.gw4biomed.ac.uk/projects-2/for-students/ ? and the project brief description is at: ? http://www.gw4biomed.ac.uk/ai-and-data-science-studentships-projects/ ? Developing and using intelligent machine learning tools to re-classify kidney disease based on novel molecular fingerprints We will use advanced methods from machine learning in application to genomic medicine, see e.g. https://seis.bristol.ac.uk/~enicgc/software.htm. Though the applications areas will be broad-based, a particular focus will be chronic kidney disease and nephrotic syndrome, in collaboration with Prof. Moin Saleem (University of Bristol). -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Jun 8 16:19:51 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 8 Jun 2018 20:19:51 +0000 Subject: Connectionists: SBP-BRiMS 2018: Call for Participation, Student Travel Fellowships and Diversity Fellowships available In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies. ------------------------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2018 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 10-13, 2018, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/2018/ Conference Registration: Registration is now open for the 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 10 ? July 13, 2018. You can register at the website: http://sbp-brims.org/2018/registration/ Travel Fellowships: A limited number of fellowships is available for Student Travel Fellowships, and for Diversity Fellowships. Diversity Fellowships will be awarded based on gender, racial, and disciplinary diversity. For more details, visit the conference website http://sbp-brims.org/2018/, and check the menu for Scholarships, under "Conference Information". Application Deadline is June 20, 2018. 2018 International Conference on Social Computing ... sbp-brims.org 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation Please visit the http://sbp-brims.org/2018/ website for more information about the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Sun Jun 10 09:38:31 2018 From: max.garagnani at gmail.com (Max Garagnani) Date: Sun, 10 Jun 2018 15:38:31 +0200 Subject: Connectionists: New MSc in Computational Cognitive Neuroscience In-Reply-To: <102E62C2-520A-43D9-8D60-5318FE9BCED2@campus.goldsmiths.ac.uk> References: <102E62C2-520A-43D9-8D60-5318FE9BCED2@campus.goldsmiths.ac.uk> Message-ID: ************************************************************************************************************** ? Apologies for cross posting - Please forward to interested final year UG students ? --------------------------------------------------------------------------------------------------- The Departments of Computing and Psychology at Goldsmiths, University of London (UK) are pleased to announce the launch of a new MSc in Computational Cognitive Neuroscience (see http://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/) * COURSE OUTLINE * This is a our one-year Master degree program, consisting of taught courses plus research project and dissertation. It is designed for students with a good degree in the biological / life sciences (Psychology, Neuroscience, Biology, Medicine, etc.) or the physical sciences (computer science, mathematics, physics, engineering). The core contents of this programme include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. In particular, unlike many other existing computational neuroscience Masters (which focus predominantly on modelling ?low-level? aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically-constrained models of cognitive functions (including, e.g., language). * HOW TO APPLY * The program is currently accepting student applications. NOTE: ** PLACES ARE LIMITED ** and will be allocated on a first-come first-served basis. If you are considering enrolling, we strongly recommend to reserve a place on this course by submitting an online application. To fill in an application, simply click on the link below and follow the instructions: https://info.gold.ac.uk/OnlineServices/applications/appModuleList.aspx?id=128000142398953 We look forward to receiving your application! With very best wishes, Dr. Maria Herrojo-Ruiz (M.Herrojo-Ruiz at gold.ac.uk) Dr. Max Garagnani (M.Garagnani at gold.ac.uk) _____________________________________________ ***************************************************************** Max Garagnani, PhD. (Durham), PhD. (Cantab) Lecturer in Computer Science Programme Co-Leader, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW UK Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ http://www.geisteswissenschaften.fu-berlin.de/v/brainlang/Team/MGaragnani.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.polani at gmail.com Sun Jun 10 13:12:28 2018 From: daniel.polani at gmail.com (Daniel Polani) Date: Sun, 10 Jun 2018 18:12:28 +0100 Subject: Connectionists: PhD Studentships on Informational Principles in Artificial Intelligence and Artificial Life Message-ID: ///////////////////////////////////////////////////////////////////// PhD Studentships Available on PRINCIPLED APPROACHES TO ARTIFICIAL INTELLIGENCE, ROBOTICS AND ARTIFICIAL LIFE Adaptive Systems Research Group School of Computer Science University of Hertfordshire, UK Contact: Daniel Polani (d.polani at herts.ac.uk) ///////////////////////////////////////////////////////////////////// We invite applications for PhD studentships in the Adaptive Systems Research Group at the University of Hertfordshire to investigate principled approaches to Artificial Intelligence, with applications to Robotics and/or Artificial Life. We particularly focus on information-theoretic methods to study decision-making, feature extraction, robust and flexible control, embodiment, intrinsic and "altruistic" motivation models, generalization, but also origin of life and cognition from first principles, and emergence of complexity and self-organization. The prospective candidates should have a very strong first degree; a keen interest in delving into and contributing to a fresh and fast-moving research area; and an outstanding background in Computer Science, Computational/Cognitive Robotics, Physics, Mathematics, Statistics or another relevant computational/quantitative discipline. In particular, they should demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly desirable. Knowledge in at least one of the following fields would be a plus: probability theory, information theory, differential geometry, control, dynamical systems, data modelling/neural network techniques. The envisaged research will take place in the vibrant and enterprising environment of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire; there will also be the opportunity to collaborate with the socSMCs (Socializing Sensorimotor Contingencies, FET Open) EU Horizon 2020 project, and especially the School's successful humanoid robot RoboCup team, the Bold Hearts. ////////////////////////////////////////////////////////////////////// The school offers a large number of specialized and interdisciplinary seminars as well as general training opportunities. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 50% of the research submitted being rated as internationally excellent or world leading. The University of Hertfordshire is located in Hatfield, Hertfordshire UK which is considered the "northern green belt" of London. Hatfield is close to London (less than 25 minutes by direct train to Kings Cross), has convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport. Successful candidates are eligible for a research studentship award from the University (which includes approximately GBP 14,553.00 per annum bursary from 1 March 2018 and the payment of the standard UK/EU student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Closing date for application is the 8. January 2018, though excellent applications may be considered after that date. For informal inquiries on the research topic please contact: Dr. Daniel Polani (E-mail: d.polani at herts.ac.uk) ////////////////////////////////////////////////////////////////////// Application forms are available under the following link (see under "How to Apply"): http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science The application form should be returned to: Mrs Emma Thorogood Research Student Administrator University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 doctoralcollegeadmissions at herts.ac.uk Applications should also include two references and transcripts of previous academic degrees. We accept applications for self-funded places throughout the year. The next short-listing process for studentship applications will begin on 25 June 2018. -------------- next part -------------- An HTML attachment was scrubbed... URL: From asdm at fi.upm.es Mon Jun 11 13:11:49 2018 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Mon, 11 Jun 2018 19:11:49 +0200 (CEST) Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 25th - July 6th, 2018) - Two weeks until start! Message-ID: <1342443276.0.1528737109539.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that registration for week one of the Madrid UPM Advanced Statistics and Data Mining summer school finishes in less than two weeks, on June 20th. Registration for week two finishes a week later, on June 27th. The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI Registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 25th - June 29th, 2018) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 2nd - July 6th, 2018) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From stefano.panzeri at gmail.com Mon Jun 11 10:29:07 2018 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Mon, 11 Jun 2018 16:29:07 +0200 Subject: Connectionists: Postdoctoral position in computational neuroscience at the IIT - Italy Message-ID: A postdoctoral position is currently available at the Istituto Italiano di Tecnologia, within the new Center for Human Technologies in Genoa, Italy. The research will be jointly supervised by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and Cristina Becchio ( https://www.iit.it/it/people/cristina-becchio). The aim of this project is to investigate, using both neural network models and the mathematical analysis of behavioral, psychophysical and neuroimaging data from cognitive experiments, how motor variability affects action observation and prediction in both typically developing individuals and individuals with autism. The laboratories of the two supervisors offer a wide range of interdisciplinary expertise in computational and cognitive neuroscience, including advanced analysis, neural analyses techniques, neural network modeling, motion tracking, psychophysics and neuroimaging techniques. The laboratories offer a thriving, well-funded research environment with extensive international collaborations and ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific scientific discipline, with a solid computational background and a keen interest in neuroscience and cognition. The ideal candidate is a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment and is willing to interact with both experimental and theoretical cognitive neuroscientists. The formal deadline for applications is *July 9**th** 2018*. However, interested candidates are advised to contact informally Stefano Panzeri ( stefano.panzeri at iit.it) *as soon as possible*. The formal application should be sent by email to *jobpost.75446 at iit.it* , *quoting ?One post-doctoral position at the interface between Computational and Cognitive Neuroscience - CB 75446 CB 75447? in the subject*. The formal application should contain the CV, a brief statement of research interests, and names and email addresses of 2 referees. Please see the following link for further details: https://www.iit.it/careers/openings/opening/767-one-post-doctoral-position-at-the-interface-between-computational-and-cognitive-neuroscience Yours truly Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at cse.msu.edu Mon Jun 11 12:35:40 2018 From: weng at cse.msu.edu (Juyang Weng) Date: Tue, 12 Jun 2018 00:35:40 +0800 Subject: Connectionists: Brain-Mind Institute Summer School and AIML Contest 2018 Message-ID: <8716c8d8-bb8d-fe30-6ae1-01825af93a1b@cse.msu.edu> *Brain-Mind Institute http://www.brain-mind-institute.org/ Important dates*: - Friday June 15, 2018: deadline for registration of BMI courses and advance registration of AIML Contest entries - June 18 - July 6, 2018 (three weeks): distance learning course BMI 831 Cognitive Science - July 9 - July 27, 2018 (three weeks): distance learning course BMI 861 Brain Automata - July 30 - Aug. 17, 2018 (three weeks): distance learning course BMI 871 Computational Brain-Mind - August 20 - Aug. 31, 2017: Contest workshops: Hands on contest engines (free for one person of each AIML Contest entry) - Dec. 31, 2018: results from contest entries due From poma at mmmi.sdu.dk Mon Jun 11 17:04:48 2018 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Mon, 11 Jun 2018 21:04:48 +0000 Subject: Connectionists: [meetings] SAB2018: Registration open! In-Reply-To: References: <2a4ab00d9eda4f9583a96ae5d2967877@mmmi.sdu.dk> Message-ID: <3e79755e7c684f4b9986a395a7f6fd21@mmmi.sdu.dk> Dear colleagues, Let us inform you that the registration to the 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) conference is now open. Please visit the following links: https://www.sab2018.org/ https://www.sab2018.org/registration Conference registration can be booked here: https://www.sab2018.org/payment Early Bird Regular ?300 Early Bird Student ?250 Late Regular (from 1st July) ?350 Late Student (from 1st July) ?280 Banquet tickets can be purchased through the registration site at ?50 per ticket. Note: at least one author of accepted papers must register during the early bird registration period for the paper to be published. You all are very welcome to register as a listener -- just ignore the field about paper number, which is only for authors. Please also visit the following links for more details of SAB2018: https://www.sab2018.org/call https://www.sab2018.org/keynote https://www.sab2018.org/venue ------------ FROM ANIMALS TO ANIMATS 15 The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) 14-17 August 2018, Frankfurt, Germany * Keynote speakers * Auke Jan Ijspeert, Swiss Federal Institute of Technology (EPFL), Switzerland Jan Peters, Darmstadt University of Technology, Germany Koh Hosoda, Osaka University, Japan Tom Froese, National Autonomous University of Mexico, Mexico *Organising Committee* Conference Chairs: Jochen Triesch, John Hallam Program Chairs: Poramate Manoonpong Tutorial Chair: J?rgen Christian Larsen *Important Dates* Paper Submission Deadline: 11th March, 2018 Extended to 31st March! Notification of Acceptance: 25th May, 2018 Camera Ready Submission: 13th June, 2018 Tutorial Proposal Deadline: 21st May, 2018 Tutorial Notification of Acceptance: 31st May, 2018 Tutorials: 14th August, 2018 Conference: 15-17th August, 2018 *Tutorial* The first joint workshop on Biology-inspired robotics and Robotics-inspired Biology (BIRRIB) will be held on 14th August 2018 at the 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) The BIRRIB workshop is jointly organized by two HFSP (Human Frontier Science Program)-funded projects: Biology-inspired robotics: A dung beetle?s life ?how miniature creatures perform extraordinary feats with limited resources? (http://dlife.sdu.dk/), Robotics-inspired biology: Decoding flexibility of motor control by studying amphibious locomotion. The workshop aims to present and discuss how robotics and biology can effectively interact to gain a better understanding of the principles underlying complex biological behaviors and to develop a novel bio-inspired robotic technology for solving complex sensorimotor coordination and control problems of systems with many degrees of freedom. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristobal.nettle at gmail.com Tue Jun 12 11:38:26 2018 From: cristobal.nettle at gmail.com (Cristobal Jesus Nettle Vacher) Date: Tue, 12 Jun 2018 12:38:26 -0300 Subject: Connectionists: CRoNe2018: First CFP - Paper Submission deadline August 10, 2018 Message-ID: http://congresorobotica.usm.cl/ (still on preparation) *CRoNe2018 *is a focused, multidisciplinary event part of the Latin American Robotics Week organized by the Innovation and Robotics Students group at UTFSM. CRoNe is a meeting point for people from engineering, human and biological sciences for developing and understanding complex intelligent systems. During its 4th version, the Congress on Robotics and Neuroscience will be focused on four different areas: - *Development of meaning*: with approaches from Developmental Robotics, Machine Learning, and Brain-based theories. - *Predictive coding for cognitive development*: introducing analyses from Neuroscience, Computational Neuroscience, and AI. - *Multimodal cognition*: under neuroscientific and psicological scopes. - *Experimental analyses and methodologies*: presenting novel methodologies for closed-loop brain training, brain functional connectivity analyses and Machine Learning applications. The Congress considers 3 introductory workshops to be defined, related to one or more of the previously detailed areas. *IMPORTANT DATES *=========== - Abstract submission: August 10, 2018 - Paper submission: August 30, 2018 - Paper acceptance: October 10, 2018 - Early registration: October 15, 2018 - Conference dates: November 15 to 17, 2018. *SUBMISSIONS* *Conference Proceedings and Poster Session* =========== All applications must be submitted through: https://easychair.org/conferences/?conf=crone2018 Submitted works must be original, and formatted according to: Abstract: The maximum length is 1500 characters. Paper: A minimum extension of 5 pages*. A maximum extension of 7 pages. Uploaded in PDF (.pdf) format. Must follow this one-column Latex template: https://www.overleaf.com/latex/templates/crone-latex-template/hqrcmcthyzfj Submissions will be peer-reviewed. Selected contributions will be presented in a poster session during the Congress. *A paper not meeting the minimum extension, but determined as interesting and relevant by the editors, could still be included as an invited work. *TOPICS OF INTEREST *=========== Topics for submissions include, but are not limited to: - Cognitive Sciences Computational cognitive systems Cognitive development Cognitive neuroscience Augmented cognition Artificial perception Language and action development Reasoning, Inference and Planning Sensory substitution - Computational Neuroscience Structural and Functional models for connectivity Computational modelling of micro, meso and macroscopic neural networks Network analysis Novel physiological insights based on CN models Neural coding Plasticity - Representation Learning for Human and Robots Knowledge representation and reasoning Neurosymbolic computing Human Behaviour Modeling Affordances Crossmodal learning - Robotics and AI Developmental Robotics Collaborative Robotics Human-Robot Interaction Affective Computing Deep learning Evolving deep networks Transfer learning in deep learning Bio-inspired robotics Reinforcement Learning Robotic and Virtual Embodiment Applications Robotic-Assisted Rehabilitation Performance metrics and benchmarking Applications on Healthcare, Media and Entertainment, Manufacturing, Natural Resources, Government, Etc. *PUBLICATION * ======== CRoNe2018 proceedings shall be submitted to CEUR-WS.org for online publication, an OPEN, recognized ISSN publication series. The proceedings ebook for the Congress considers an ISBN identification. *VENUE * ======== The conference will be held at Universidad T?cnica Federico Santa Mar?a, in Valpara?so, Chile. Immerse in a World Heritage Seaport City, this University has more than 85 years of activities in research and education. Valpara?so by itself is a colored city with a natural amphitheater-like setting with impressive open views, characterized by a vernacular urban fabric adapted to the hillsides; and, is a neighbor city of the tourist capital of Chile, Vi?a del Mar, which is located 5 minutes from the conference location. Other magnificent touristic destinations, as the Atacama Desert, the Easter Island, or the millennial glaciers and waterfalls from Torres del Paine are at one local flight away. *CONTACT * =========== All questions about the Congress, including submission, registration or any other event information, should be emailed to crone at innovacionyrobotica.com. Kind regards, Crist?bal Nettle V. Robotics and Innovation Center http://innovacionyrobotica.com/~cristobal.nettle -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Mon Jun 11 17:23:01 2018 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Mon, 11 Jun 2018 21:23:01 +0000 Subject: Connectionists: [meetings] SAB2018: Registration open! In-Reply-To: <3e79755e7c684f4b9986a395a7f6fd21@mmmi.sdu.dk> References: <2a4ab00d9eda4f9583a96ae5d2967877@mmmi.sdu.dk> <3e79755e7c684f4b9986a395a7f6fd21@mmmi.sdu.dk> Message-ID: <7e61a8644b384d5598289a393a03ea25@mmmi.sdu.dk> Dear colleagues, Let us inform you that the registration to the 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) conference is now open. Please visit the following links: https://www.sab2018.org/ https://www.sab2018.org/registration Conference registration can be booked here: https://www.sab2018.org/payment Early Bird Regular ?300 Early Bird Student ?250 Late Regular (from 1st July) ?350 Late Student (from 1st July) ?280 Banquet tickets can be purchased through the registration site at ?50 per ticket. Note: at least one author of accepted papers must register during the early bird registration period for the paper to be published. You all are very welcome to register as a listener -- just ignore the field about paper number, which is only for authors. Please also visit the following links for more details of SAB2018: https://www.sab2018.org/call https://www.sab2018.org/keynote https://www.sab2018.org/venue ------------ FROM ANIMALS TO ANIMATS 15 The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) 14-17 August 2018, Frankfurt, Germany * Keynote speakers * Auke Jan Ijspeert, Swiss Federal Institute of Technology (EPFL), Switzerland Jan Peters, Darmstadt University of Technology, Germany Koh Hosoda, Osaka University, Japan Tom Froese, National Autonomous University of Mexico, Mexico *Organising Committee* Conference Chairs: Jochen Triesch, John Hallam Program Chairs: Poramate Manoonpong Tutorial Chair: J?rgen Christian Larsen *Important Dates* Paper Submission Deadline: 11th March, 2018 Extended to 31st March! Notification of Acceptance: 25th May, 2018 Camera Ready Submission: 13th June, 2018 Tutorial Proposal Deadline: 21st May, 2018 Tutorial Notification of Acceptance: 31st May, 2018 Tutorials: 14th August, 2018 Conference: 15-17th August, 2018 *Tutorial* The first joint workshop on Biology-inspired robotics and Robotics-inspired Biology (BIRRIB) will be held on 14th August 2018 at the 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) The BIRRIB workshop is jointly organized by two HFSP (Human Frontier Science Program)-funded projects: Biology-inspired robotics: A dung beetle?s life ?how miniature creatures perform extraordinary feats with limited resources? (http://dlife.sdu.dk/), Robotics-inspired biology: Decoding flexibility of motor control by studying amphibious locomotion. The workshop aims to present and discuss how robotics and biology can effectively interact to gain a better understanding of the principles underlying complex biological behaviors and to develop a novel bio-inspired robotic technology for solving complex sensorimotor coordination and control problems of systems with many degrees of freedom. -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothee.masquelier at alum.mit.edu Tue Jun 12 06:08:28 2018 From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=) Date: Tue, 12 Jun 2018 12:08:28 +0200 Subject: Connectionists: PhD position in neuromorphic engineering - Toulouse, France Message-ID: Beating Roger Federer: Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device Goal: PhD grant. When: starting from September 2018 (date may be flexible to some extent) Topic: How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system ? based on FPGA circuits and ARM processor ? an artificial neural network which would replicate ? and perhaps beat ? the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. The project is funded by a French National Research Agency (ANR), involving two sites and several researchers: ? Robin Baur?s, Benoit Cottereau, Timoth?e Masquelier and Simon Thorpe, CerCo, Toulouse. ? Michel Paindavoine, GST, Dijon. Where: The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. Tasks: ? Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. ? VHDL coding to implement these numerical filters into the FPGA circuits of the cameras ? C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system ? Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball?s trajectories Required skills: ? Strong knowledge on electronic, and openness to computational neurosciences ? Knowledge in signal-image processing, and artificial neural network ? Interest for multidisciplinary research ? Ability to turn smoothly autonomous, once the road has been set ? Ability to be at the interface of two scientific fields and two working areas ? Programming with Matlab and/or Python for simulating the neural network ? Programming in VHDL language for FPGA circuits ? Programming in C/C++ language for porting the algorithms on ARM microprocessors ? French is not a requirement if fluent in English, but willingness to learn would be beneficial Citizenship Eligibility: For security / defense reasons, an evaluation will be made of the candidates before any possible acceptation. Relevant publications for the project: ? Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5),1259-1276. ? Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. ? Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. ? SmartNeuroCam de GST : https://gsensing.eu/fr/category/sections/products Contact: Robin Baur?s, PhD Associate Professor CerCo, Universit? Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 ? France Office phone: 0033 (0)5 62 74 62 15 Email : robin.baures at cnrs.fr Pr Michel Paindavoine GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine at gsensing.eu -- Timoth?e Masquelier - timothee.masquelier at cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.ritter at psu.edu Tue Jun 12 11:37:31 2018 From: frank.ritter at psu.edu (Frank Ritter) Date: Tue, 12 Jun 2018 11:37:31 -0400 Subject: Connectionists: ICCM18: registration available/ confs / learning resources Message-ID: Registration for ICCM is available! As always, if you want off, I will take you off. if you want on, I'll put you on directly. Web version: http://acs.ist.psu.edu/iccm2018/iccm-mailing-jun2018.html This newsletter was prepared with Josh Irwin's help. cheers, Frank ****************** Table of Contents ****************** CONFERENCES 1) MathPsych/ICCM 2018, early registration due 9 Jun, today U of Wisconsin, Madison 21-24 Jul 18 http://mathpsych.org/conferences/2018/ 2) ACT-R workshop, 21 Jul 18 held during ICCM workshop day 3) Sixth Annual Conference on Advances in Cognitive Systems Stanford U Aug 18-20, 2018 http://www.cogsys.org/conference/2018/ 4) Animal and Human Behavior: Using Computational Approaches to Build a Two-way Bridge Cambridge, UK, on Jul 29-31 http://www.ebps.org/meetings/Workshop.lasso?ID=5&-session=userebps:9D1B9 214190111EAB7wyOy345181 5) Soar Tutorial and Workshop [passed, but useful] U of Michigan 14May - 17May https://soar.eecs.umich.edu/workshop_registration/ RESOURCES 6) FDUCS: What system designers need to know about people, in Chinese http://cmpbook.com/stackroom.php?id=43712 7) From cybernetics to brain theory, and more: A memoir [Arbib] Available Aug 13 https://www.sciencedirect.com/science/article/pii/S1389041718301360 8) Common Model of Cognition mailing list https://lists.andrew.cmu.edu/mailman/listinfo/common-model 9) Information Theory: A Tutorial Introduction https://arxiv.org/abs/1802.05968 10) Soar-group list has moved to a new provider http://localhost:63343/ICCM_2018_Summer/soar-group at lists.sourceforge.net soar-group at lists.sourceforge.net 11) "Minding the Brain", A free audio podcast https://mindingthebrainpodcast.com/ 12) Bonus: Psychological Science in the Public Interest https://www.psychologicalscience.org/publications/pspi **************************************************************** 1) MathPsych/ICCM 2018, early registration due 9 Jun, today U of Wisconsin, Madison 21-24 Jul 18 http://mathpsych.org/conferences/2018/ Early Bird Registration Ends Jun 9 Registration link: https://www.conftool.com/mathpsych-iccm2018/ (Jul 21st is for Workshops, Tutorials & Opening reception) [The box lunches seem unnecessary, there is close by food I'm told. The banquet might be overpriced, but it is always a good place to meet people. I'm going. You can see my new beard if I still have it. ] Attendees, please fill out the preference survey by Jun 9 Talk preference survey: https://wright.qualtrics.com/jfe/form/SV_554eIbYTBm5HePr We invite you to MathPsych/ICCM 2018, the joint gathering of the 51st Annual Meeting of the Society for Mathematical Psychology and the 16th International Conference on Cognitive Modeling (ICCM): the premier conference for research on computational models and computation-based theories of human cognition. Following our success in 2017, ICCM has again joined forces with the Society for Mathematical Psychology to create a conference in which all sessions are open to all attendees, and cross-talk is highly encouraged. Early bird registration fees, by Jun 9, are $200 (faculty/professionals) and $80 (students) and the banquet cost is $80 (faculty/professionals) and $40 (students). After Jun 9, fees increase to $250 and $100 respectively. Catered lunch is available for $18 each day or there are many options available nearby. As in previous years, the talk preference survey will be used to minimize conflicts across sessions. You will be asked to indicate your degree of interest in attending 10 randomly selected talks based on their abstracts. Feel free to run through the survey as many times as you like. We hope to see you in Madison! Ion Juvina, Joseph Houpt, and Christopher Myers (ICCM co-chairs) Joseph Austerweil and Joseph Houpt (MathPsych co-chairs) **************************************************************** 2) ACT-R workshop, 21 Jul 18 held during ICCM workshop day The ACT-R Workshop will be held this summer at the ICCM conference. You attend, I believe, by attending ICCM and choosing the workshop for your workshop choice. **************************************************************** 3) Sixth Annual Conference on Advances in Cognitive Systems Stanford U Aug 18-20, 2018 http://www.cogsys.org/conference/2018/ The Sixth Annual Conference on Advances in Cognitive Systems (details at http://www.cogsys.org/conference/2018) will take place at Stanford 18-20 Aug 2018, with submissions due 25 May 2018. The meeting welcomes many types of research, including demonstrations of new capabilities, empirical studies of implemented systems, models of complex human behavior, and formal analyses of challenging tasks. The conference shares with early research in AI and cognitive science an emphasis on high-level cognition, structured representations, and integrated systems. Thus, submissions on multi-step reasoning, problem solving, or the acquisition of complex structures are more relevant than ones about categorization, reactive control, or low-level learning. Progress reports on cognitive architectures are especially appropriate. Submissions may be 16 pages in the single-column format described at http://cogsys.org/instructions/ , while accepted papers will be expanded to 20 pages and appear as articles in the electronic journal Advances in Cognitive Systems. I encourage authors to examine the review form at http://www.cogsys.org/review-form-2018/ before submitting a paper, as referees will expect authors to address each of its questions. I believe that Advances in Cognitive Systems has greater intellectual diversity than AAAI, CogSci, or other mainstream conferences, with papers covering many different approaches to intelligent behavior. We are especially interested in attracting graduate students, so I hope you will share this message with junior collaborators. If you have any questions, please feel free to contact me. Sincerely, Pat Langley, Program Chair Sixth Annual Conference on Advances in Cognitive Systems _______________________________________________ common-model mailing list common-model at lists.andrew.cmu.edu https://lists.andrew.cmu.edu/mailman/listinfo/common-model **************************************************************** 4) Animal and Human Behavior: Using Computational Approaches to Build a Two-way Bridge Cambridge, UK, on 29-31 Jul http://www.ebps.org/meetings/Workshop.lasso?ID=5&-session=userebps:9D1B9 214190111EAB7wyOy345181 I want to make you aware of an upcoming workshop (sponsored by the European Behavioural Pharmacology Society) entitled "Animal and Human Behavior: Using Computational Approaches to Build a Two-way Bridge" to be held in Cambridge, UK, 29-31 Jul 2018. Additional information can be found at the following link and details regarding registration, travel awards and the program will be forthcoming, after the first of the year. http://www.ebps.org/meetings/Workshop.lasso?ID=5&-session=userebps:9D1B9214190111EAB7wyOy345181 Please share amongst potentially interested colleagues across the globe and feel free to contact me with any questions. Shelly B. Flagel, Ph.D. Department of Psychiatry Molecular and Behavioral Neuroscience Institute U of Michigan sflagel at umich.edu 734-936-2033 www.flagellab.com **************************************************************** 5) Soar Tutorial and Workshop [passed, but useful] U of Michigan 14May - 17May https://soar.eecs.umich.edu/workshop_registration/ You are all invited to the Soar Tutorial and Workshop. The tutorial will be held May 14-15, with the workshop being held May 16-17 at the Beyster Building on the North Campus of the U of Michigan, Ann Arbor, MI. There is no registration fee for the tutorial or workshop and anyone can attend. We will ask for registration information at a future date. John Laird **************************************************************** 6) FDUCS: What system designers need to know about people, in Chinese http://cmpbook.com/stackroom.php?id=43712 The Foundations for Designing User-centered Systems has been translated into Chinese by researchers as the Chinese Academy of Science (2017), led by Prof. Xiaolong Zhang. It is published by China Machine Press. It is unusual to understand a book but not be able to read it. **************************************************************** 7) From cybernetics to brain theory, and more: A memoir [Arbib] Available from Aug 18 issue https://www.sciencedirect.com/science/article/pii/S1389041718301360 The memoir of one of the legendary brain theoreticians, Michael Arbib: >From cybernetics to brain theory, and more: A memoir is published in Cognitive Systems Research. It is now freely available from the Aug 18 issue through (link above). Hope you will enjoy to read this paper! Kind regards P?ter ?rdi (editor) **************************************************************** 8) Common Model of Cognition mailing list https://lists.andrew.cmu.edu/mailman/listinfo/common-model The Common Model of Cognition mailing list is a forum for the discussion, refinement and formalization of an emerging consensus about the nature (structure, mechanisms and representations) of human-like minds. The effort, initially called the Standard Model of the Mind but since renamed the Common Model of Cognition following community input, was formulated by Laird, Lebiere & Rosenbloom (2017) and was the topic of a 2017 AAAI Fall Symposium. Additional details, including a copy of the paper and symposium schedule with presentations, are available on the symposium web site (http://sm.ict.usc.edu/). Instructions on how to subscribe to the mailing list can be found at: https://lists.andrew.cmu.edu/mailman/listinfo/common-model Laird, J. E., Lebiere, C. & Rosenbloom, P. S. (2017). A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. AI Magazine 38(4). https://doi.org/10.1609/aimag.v38i4.2744 **************************************************************** 9) Information Theory: A Tutorial Introduction https://arxiv.org/abs/1802.05968 For those interested in a gentle introduction to information theory, please see: Information Theory: A Tutorial Introduction by James V Stone Abstract Shannon's mathematical theory of communication defines fundamental limits on how much information can be transmitted between the different components of any man-made or biological system. This paper is an informal but rigorous introduction to the main ideas implicit in Shannon's theory. An annotated reading list is provided for further reading. A pdf file of the article can be downloaded from the Cornell U Library archive: https://arxiv.org/abs/1802.05968 Comments and corrections welcome. regards, James V Stone -- Dr James V Stone Honorary Reader, Sheffield U, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html **************************************************************** 10) Soar-group list has moved to a new provider http://localhost:63343/ICCM_2018_Summer/soar-group at lists.sourceforge.net soar-group at lists.sourceforge.net Hello Soar Community, Due to new restrictions that Sourceforge has placed on their mailing lists, we have decided to move the soar-group list to a new provider (mailchimp). Unfortunately, Sourceforge no longer provides access to a mailing list's membership roster, so we need people to give us an e-mail address to transfer to the new mailing list. (People can continue to use the current mailing lists until the transition is complete.) So, please simply reply to this message so that we can move you over. A blank response is fine. You can include a specific address if you don't want us to use your reply-to address. Note that soar-group will continue to be a low volume list used mostly for announcements. All new user and help-related traffic will continue to be handled on soar-help. Regards, Mazin https://lists.sourceforge.net/lists/listinfo/soar-group **************************************************************** 11) "Minding the Brain", A free audio podcast https://mindingthebrainpodcast.com/ My neuroscientist friend Kim Hellemans and I created a audio podcast called "Minding the Brain." It is free on the web, and can be subscribed to on iTunes. This monthly podcast features us discussing various issues about cognitive and brain sciences, such as stress, imagination, emotion, and addiction. Hope you like it! :) https://mindingthebrainpodcast.com/ -- JimDavies http://www.jimdavies.org/ Professor of Cognitive Science, Carleton U **************************************************************** 12) Bonus: Psychological Science in the Public Interest https://www.psychologicalscience.org/publications/pspi this was not sent to me, i just used it this semester and like it, and thought the title and contents are great stuff. `< Published 3x / year by the Association for Psychological Science, Psychological Science in the Public Interest (PSPI) is a unique journal featuring comprehensive and compelling reviews of issues that are of direct relevance to the general public. These reviews are written by blue-ribbon teams of specialists representing a range of viewpoints and are intended to assess the current state-of-the-science with regard to the topic. Among other things, PSPI reports have challenged the validity of the Rorschach and other projective tests, have explored how to keep the aging brain sharp, and have documented problems with the current state of clinical psychology. Good, high quality, easily available reviews on useful subjects. **************************************************************** -30- From george at cs.ucy.ac.cy Tue Jun 12 07:58:23 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 12 Jun 2018 14:58:23 +0300 Subject: Connectionists: ENTER 2019 eTourism Conference: Second Call for Papers Message-ID: <24C0AE66-5E3F-49B6-9217-5BFF86E3607A@cs.ucy.ac.cy> ENTER 2019: The 26th Annual eTourism Conference "eTourism: Towards a Sustainable Digital Society" Hilton Cyprus, Nicosia, Cyprus, 30 January - 1 February, 2019 https://www.enter2019.org *** Second Call for Research Papers *** (Proceedings published by Springer - Journal special issue in JITT, Springer) Every year, hundreds of tourism academics, industry representatives, government officials, students and entrepreneurs come together to share, discuss and challenge latest developments in information technology in the fields of travel, tourism and hospitality. With the theme "eTourism: Towards a Sustainable Digital Society" the ENTER 2019 conference will focus on exploring the ways in which technology and tourism together can make our society more sustainable. We call for latest research and case studies on emergent and cutting-edge information and communication technology concepts, applications, and business models to be shared in the conference. Organized by the International Federation for Information Technology and Travel & Tourism (IFITT), the ENTER 2019 conference provides a unique venue for various tourism stakeholders to understand the application of information and communication technologies to travel and tourism, with a special focus on how eTourism can contribute to the sustainability of the society. The ENTER 2019 research track is divided into three major topics that all contribute to our capabilities in building a sustainable digital society: Tourism Business and Technology, Governance, Sustainability and Education, and Computer Science and Information Systems. Issues to be covered at the conference include, but are not limited, to the following areas in the travel, tourism and hospitality context: Tourism Business and Technology ? ICT and Tourism Experience ? Augmented and Virtual Reality ? Platform Economy ? Website Design and Evaluation ? Digital Marketing and Social Media Strategies ? Digital Distribution and Social Selling ? Social Networking, Social Media and Social Inspiration ? Gaming and Gamification ? ICT Adoption and Value Creation ? E-strategy and eBusiness Models ? ICT for Innovation and Service Design ? Digital Nomads ? Consumer Behaviour in Digital Space ? Robotics and Automation in Travel and Hospitality Governance, Sustainability and Education ? ICT for Regional Development and Sustainability ? Advanced Distribution Systems and Strategies, Dynamic Packaging ? ICT-enabled Partnership and Collaboration ? E-Learning, Life-long Learning and MOOCs ? E-Government and Public Policy in Tourism ? Digital Divide and Socio-economic Development ? Privacy and Internet Security ? Legal, Ethical and Social Aspects of ICT Computer Science and Information Systems ? Big Data and Large-scale Systems ? Artificial Intelligence, Machine Learning and Deep Learning ? Data Mining, Analytics and Measurement ? Text and Concept Mining, Sentiment Analysis ? Recommender Systems and Personalization ? User Modeling and Decision Making ? Human-Computer Interaction ? Emotions and Personality-based Systems ? Social Network Analysis ? Location-based Services and Context-Aware Systems ? Mobile Services and Wearable Technologies ? Semantic Web, Tourism Ontologies and Linked Open Data ? Data Standards and Data Integration ? Travel Information Search and Retrieval ? Internet-of-Things ? Smart Destinations ? Travel Chatbots ? Blockchain and Other Emerging Technologies Welcoming Academics and the Industry The conference brings together the research community and industry, and it is organized in three streams, namely industry track, destinations track, and research track. If you are representing tourism industry or destinations, please see suitable calls for presentations at https://www.enter2019.org . The conference also features six to eight world-class keynote speakers discussing the most pressing topics within eTourism. Location The 26th edition of ENTER will take place in Nicosia, Cyprus. Nicosia is the capital of Cyprus; a status it has enjoyed for 1000 years since the 10th century, though its beginnings date back 5000 years to the Bronze Age. Nicosia is a sophisticated and cosmopolitan city, rich in history and culture that combines its historic past with the amenities of a modern city. Cyprus is an island drenched in sun and mythology, at the crossroads of ancient civilizations. 9,000 years of history gathered on one island. Cyprus packs a remarkable array of sights and attractions, museums and archaeological parks, throbbing beach resorts, pine covered mountains, medieval fortresses and ancient temples. Over the last few years, it has become one of the top touristic European destinations breaking in consecutive years the record of tourist arrivals. It is expected that in 2018, more than 3.6 million tourists will visit Cyprus and plans target a steady intake of 5 million tourists per year. More information about Nicosia and Cyprus as well as what the island and its capital offer can be found on the conference web site. Call for Research Papers We invite research papers across the widest spectrum of Information and Communication Technologies in Travel and Tourism to be presented at the ENTER 2019 conference. All submissions to the research track are rigorously evaluated for novelty, significance, and soundness. Papers should clearly state the background, introduction, purpose, theory, methodology, results, conclusions and managerial/industry/social implications of the study, and be fully referenced with appropriate citations. The authors of full papers and research notes will have the opportunity to present their research orally supported by PowerPoint slides. Full technical details will be provided with the acceptance of the paper. The proceedings of recently held ENTER conferences are listed by ISI's Conference Proceedings Citation Index - Science (CPCI-S). ENTER 2019 proceedings will follow a similar indexing process for ISI and other major indices. A) Full Papers Full papers should be innovative, so to advance the knowledge base of related fields. These papers present major contributions to the field and should be up to 12 pages in length. The conference proceedings https://www.springer.com/la/book/9783319729220 (to be published by Springer International Publishing) will include all accepted full papers. An award for the best full paper will be presented during the conference. B) Research Notes Research notes of up to 5 pages are invited. These papers represent new ideas not developed enough at the scale of a full paper, findings that restate known research, descriptions of prototypes, or research that is limited in scope. All research notes will be published by the e-Review of Tourism Research (eRTR) at http://ertr.tamu.edu/ (Editor of eRTR: Cody Morris Paris, Middlesex University Dubai, United Arab Emirates). C) Organized Sessions Proposals for organizing technical or other research-oriented sessions are invited. Proposals will include details of potential participants, topics, and presenters. Session Chairs are expected to attend ENTER 2019, set the order of presentations, and chair their session/s. Deadline for session chairs to submit their proposals to Research Track Chairs is September 3, 2018 (please submit proposal by e-mail to the research track chairs found at the end of the document). Submission Please refer to the "Author Advice" (http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx ) document as a style guide for standards to follow in the preparation of manuscripts. Please also see Springer guidelines for conference proceedings: https://www.springer.com/gb/authors-editors/conference-proceedings/conference-proceedings-guidelines , especially for Latex submissions. Papers must be uploaded to the online reviewing platform: Easy Chair for ENTER2019 (https://easychair.org/conferences/?conf=enter2019 ). All papers will be double-blind peer-reviewed by experienced researchers who are members of the scientific review committee. Final acceptance will depend on whether the author(s) can adequately address review comments to the satisfaction of the reviewers. Authors must submit their revised manuscripts by the deadline (October 22, 2018) and must register for the conference by November 12, 2018 in order to have their papers included in the Conference Proceedings or eRTR. Time Schedule ? Submission closes: September 3, 2018 ? Notification of acceptance/rejection/revision: October 8, 2018 ? Deadline to submit revised version: October 22, 2018 ? Final acceptance: October 29, 2018 ? End of Early Bird registration: November 2, 2018 ? Registration deadline to be published later: November 12, 2018 ? Conference: January 30 - February 1, 2018 Conference organizers reserve the right to modify the paper submission schedule. Submission Guideline and Presentation Template Please download the "Author Advice" document as a style guide for Word here: http://www.enter2019.org/wp-content/uploads/2018/06/enter2019authoradvice_2.docx and for Latex here: ftp://ftp.springernature.com/cs-proceeding/svproc/templates/ProcSci_TeX.zip . A presentation template for your presentation during ENTER2019 Conference will be sent to the authors after acceptance. Fast Track Journal of Information Technology and Tourism (JITT) Best papers' authors will be invited to submit an extended version of their article to Journal of Information Technology and Tourism (Springer). These articles will be reviewed under a special fast track in order to assure a timely publication. JITT website: http://bit.ly/ITTJournal . Research Track Chairs ? Juho Pesonen, University of Eastern Finland (juho.pesonen[at]uef.fi) ? Julia Neidhardt, TU Wien, Austria (julia.neidhardt[at]ec.tuwien.ac.at) -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.ritter at psu.edu Tue Jun 12 11:37:31 2018 From: frank.ritter at psu.edu (Frank Ritter) Date: Tue, 12 Jun 2018 11:37:31 -0400 Subject: Connectionists: ICCM18: registration available/ confs / learning resources Message-ID: Registration for ICCM is available! As always, if you want off, I will take you off. if you want on, I'll put you on directly. Web version: http://acs.ist.psu.edu/iccm2018/iccm-mailing-jun2018.html This newsletter was prepared with Josh Irwin's help. cheers, Frank ****************** Table of Contents ****************** CONFERENCES 1) MathPsych/ICCM 2018, early registration due 9 Jun, today U of Wisconsin, Madison 21-24 Jul 18 http://mathpsych.org/conferences/2018/ 2) ACT-R workshop, 21 Jul 18 held during ICCM workshop day 3) Sixth Annual Conference on Advances in Cognitive Systems Stanford U Aug 18-20, 2018 http://www.cogsys.org/conference/2018/ 4) Animal and Human Behavior: Using Computational Approaches to Build a Two-way Bridge Cambridge, UK, on Jul 29-31 http://www.ebps.org/meetings/Workshop.lasso?ID=5&-session=userebps:9D1B9 214190111EAB7wyOy345181 5) Soar Tutorial and Workshop [passed, but useful] U of Michigan 14May - 17May https://soar.eecs.umich.edu/workshop_registration/ RESOURCES 6) FDUCS: What system designers need to know about people, in Chinese http://cmpbook.com/stackroom.php?id=43712 7) From cybernetics to brain theory, and more: A memoir [Arbib] Available Aug 13 https://www.sciencedirect.com/science/article/pii/S1389041718301360 8) Common Model of Cognition mailing list https://lists.andrew.cmu.edu/mailman/listinfo/common-model 9) Information Theory: A Tutorial Introduction https://arxiv.org/abs/1802.05968 10) Soar-group list has moved to a new provider http://localhost:63343/ICCM_2018_Summer/soar-group at lists.sourceforge.net soar-group at lists.sourceforge.net 11) "Minding the Brain", A free audio podcast https://mindingthebrainpodcast.com/ 12) Bonus: Psychological Science in the Public Interest https://www.psychologicalscience.org/publications/pspi **************************************************************** 1) MathPsych/ICCM 2018, early registration due 9 Jun, today U of Wisconsin, Madison 21-24 Jul 18 http://mathpsych.org/conferences/2018/ Early Bird Registration Ends Jun 9 Registration link: https://www.conftool.com/mathpsych-iccm2018/ (Jul 21st is for Workshops, Tutorials & Opening reception) [The box lunches seem unnecessary, there is close by food I'm told. The banquet might be overpriced, but it is always a good place to meet people. I'm going. You can see my new beard if I still have it. ] Attendees, please fill out the preference survey by Jun 9 Talk preference survey: https://wright.qualtrics.com/jfe/form/SV_554eIbYTBm5HePr We invite you to MathPsych/ICCM 2018, the joint gathering of the 51st Annual Meeting of the Society for Mathematical Psychology and the 16th International Conference on Cognitive Modeling (ICCM): the premier conference for research on computational models and computation-based theories of human cognition. Following our success in 2017, ICCM has again joined forces with the Society for Mathematical Psychology to create a conference in which all sessions are open to all attendees, and cross-talk is highly encouraged. Early bird registration fees, by Jun 9, are $200 (faculty/professionals) and $80 (students) and the banquet cost is $80 (faculty/professionals) and $40 (students). After Jun 9, fees increase to $250 and $100 respectively. Catered lunch is available for $18 each day or there are many options available nearby. As in previous years, the talk preference survey will be used to minimize conflicts across sessions. You will be asked to indicate your degree of interest in attending 10 randomly selected talks based on their abstracts. Feel free to run through the survey as many times as you like. We hope to see you in Madison! Ion Juvina, Joseph Houpt, and Christopher Myers (ICCM co-chairs) Joseph Austerweil and Joseph Houpt (MathPsych co-chairs) **************************************************************** 2) ACT-R workshop, 21 Jul 18 held during ICCM workshop day The ACT-R Workshop will be held this summer at the ICCM conference. You attend, I believe, by attending ICCM and choosing the workshop for your workshop choice. **************************************************************** 3) Sixth Annual Conference on Advances in Cognitive Systems Stanford U Aug 18-20, 2018 http://www.cogsys.org/conference/2018/ The Sixth Annual Conference on Advances in Cognitive Systems (details at http://www.cogsys.org/conference/2018) will take place at Stanford 18-20 Aug 2018, with submissions due 25 May 2018. The meeting welcomes many types of research, including demonstrations of new capabilities, empirical studies of implemented systems, models of complex human behavior, and formal analyses of challenging tasks. The conference shares with early research in AI and cognitive science an emphasis on high-level cognition, structured representations, and integrated systems. Thus, submissions on multi-step reasoning, problem solving, or the acquisition of complex structures are more relevant than ones about categorization, reactive control, or low-level learning. Progress reports on cognitive architectures are especially appropriate. Submissions may be 16 pages in the single-column format described at http://cogsys.org/instructions/ , while accepted papers will be expanded to 20 pages and appear as articles in the electronic journal Advances in Cognitive Systems. I encourage authors to examine the review form at http://www.cogsys.org/review-form-2018/ before submitting a paper, as referees will expect authors to address each of its questions. I believe that Advances in Cognitive Systems has greater intellectual diversity than AAAI, CogSci, or other mainstream conferences, with papers covering many different approaches to intelligent behavior. We are especially interested in attracting graduate students, so I hope you will share this message with junior collaborators. If you have any questions, please feel free to contact me. Sincerely, Pat Langley, Program Chair Sixth Annual Conference on Advances in Cognitive Systems _______________________________________________ common-model mailing list common-model at lists.andrew.cmu.edu https://lists.andrew.cmu.edu/mailman/listinfo/common-model **************************************************************** 4) Animal and Human Behavior: Using Computational Approaches to Build a Two-way Bridge Cambridge, UK, on 29-31 Jul http://www.ebps.org/meetings/Workshop.lasso?ID=5&-session=userebps:9D1B9 214190111EAB7wyOy345181 I want to make you aware of an upcoming workshop (sponsored by the European Behavioural Pharmacology Society) entitled "Animal and Human Behavior: Using Computational Approaches to Build a Two-way Bridge" to be held in Cambridge, UK, 29-31 Jul 2018. Additional information can be found at the following link and details regarding registration, travel awards and the program will be forthcoming, after the first of the year. http://www.ebps.org/meetings/Workshop.lasso?ID=5&-session=userebps:9D1B9214190111EAB7wyOy345181 Please share amongst potentially interested colleagues across the globe and feel free to contact me with any questions. Shelly B. Flagel, Ph.D. Department of Psychiatry Molecular and Behavioral Neuroscience Institute U of Michigan sflagel at umich.edu 734-936-2033 www.flagellab.com **************************************************************** 5) Soar Tutorial and Workshop [passed, but useful] U of Michigan 14May - 17May https://soar.eecs.umich.edu/workshop_registration/ You are all invited to the Soar Tutorial and Workshop. The tutorial will be held May 14-15, with the workshop being held May 16-17 at the Beyster Building on the North Campus of the U of Michigan, Ann Arbor, MI. There is no registration fee for the tutorial or workshop and anyone can attend. We will ask for registration information at a future date. John Laird **************************************************************** 6) FDUCS: What system designers need to know about people, in Chinese http://cmpbook.com/stackroom.php?id=43712 The Foundations for Designing User-centered Systems has been translated into Chinese by researchers as the Chinese Academy of Science (2017), led by Prof. Xiaolong Zhang. It is published by China Machine Press. It is unusual to understand a book but not be able to read it. **************************************************************** 7) From cybernetics to brain theory, and more: A memoir [Arbib] Available from Aug 18 issue https://www.sciencedirect.com/science/article/pii/S1389041718301360 The memoir of one of the legendary brain theoreticians, Michael Arbib: >From cybernetics to brain theory, and more: A memoir is published in Cognitive Systems Research. It is now freely available from the Aug 18 issue through (link above). Hope you will enjoy to read this paper! Kind regards P?ter ?rdi (editor) **************************************************************** 8) Common Model of Cognition mailing list https://lists.andrew.cmu.edu/mailman/listinfo/common-model The Common Model of Cognition mailing list is a forum for the discussion, refinement and formalization of an emerging consensus about the nature (structure, mechanisms and representations) of human-like minds. The effort, initially called the Standard Model of the Mind but since renamed the Common Model of Cognition following community input, was formulated by Laird, Lebiere & Rosenbloom (2017) and was the topic of a 2017 AAAI Fall Symposium. Additional details, including a copy of the paper and symposium schedule with presentations, are available on the symposium web site (http://sm.ict.usc.edu/). Instructions on how to subscribe to the mailing list can be found at: https://lists.andrew.cmu.edu/mailman/listinfo/common-model Laird, J. E., Lebiere, C. & Rosenbloom, P. S. (2017). A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics. AI Magazine 38(4). https://doi.org/10.1609/aimag.v38i4.2744 **************************************************************** 9) Information Theory: A Tutorial Introduction https://arxiv.org/abs/1802.05968 For those interested in a gentle introduction to information theory, please see: Information Theory: A Tutorial Introduction by James V Stone Abstract Shannon's mathematical theory of communication defines fundamental limits on how much information can be transmitted between the different components of any man-made or biological system. This paper is an informal but rigorous introduction to the main ideas implicit in Shannon's theory. An annotated reading list is provided for further reading. A pdf file of the article can be downloaded from the Cornell U Library archive: https://arxiv.org/abs/1802.05968 Comments and corrections welcome. regards, James V Stone -- Dr James V Stone Honorary Reader, Sheffield U, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html **************************************************************** 10) Soar-group list has moved to a new provider http://localhost:63343/ICCM_2018_Summer/soar-group at lists.sourceforge.net soar-group at lists.sourceforge.net Hello Soar Community, Due to new restrictions that Sourceforge has placed on their mailing lists, we have decided to move the soar-group list to a new provider (mailchimp). Unfortunately, Sourceforge no longer provides access to a mailing list's membership roster, so we need people to give us an e-mail address to transfer to the new mailing list. (People can continue to use the current mailing lists until the transition is complete.) So, please simply reply to this message so that we can move you over. A blank response is fine. You can include a specific address if you don't want us to use your reply-to address. Note that soar-group will continue to be a low volume list used mostly for announcements. All new user and help-related traffic will continue to be handled on soar-help. Regards, Mazin https://lists.sourceforge.net/lists/listinfo/soar-group **************************************************************** 11) "Minding the Brain", A free audio podcast https://mindingthebrainpodcast.com/ My neuroscientist friend Kim Hellemans and I created a audio podcast called "Minding the Brain." It is free on the web, and can be subscribed to on iTunes. This monthly podcast features us discussing various issues about cognitive and brain sciences, such as stress, imagination, emotion, and addiction. Hope you like it! :) https://mindingthebrainpodcast.com/ -- JimDavies http://www.jimdavies.org/ Professor of Cognitive Science, Carleton U **************************************************************** 12) Bonus: Psychological Science in the Public Interest https://www.psychologicalscience.org/publications/pspi this was not sent to me, i just used it this semester and like it, and thought the title and contents are great stuff. `< Published 3x / year by the Association for Psychological Science, Psychological Science in the Public Interest (PSPI) is a unique journal featuring comprehensive and compelling reviews of issues that are of direct relevance to the general public. These reviews are written by blue-ribbon teams of specialists representing a range of viewpoints and are intended to assess the current state-of-the-science with regard to the topic. Among other things, PSPI reports have challenged the validity of the Rorschach and other projective tests, have explored how to keep the aging brain sharp, and have documented problems with the current state of clinical psychology. Good, high quality, easily available reviews on useful subjects. **************************************************************** -30- From Johan.Suykens at esat.kuleuven.be Tue Jun 12 12:24:32 2018 From: Johan.Suykens at esat.kuleuven.be (Johan Suykens) Date: Tue, 12 Jun 2018 18:24:32 +0200 Subject: Connectionists: PhD and Postdoc positions KU Leuven (ERC Advanced grant E-DUALITY) Message-ID: <8c91ac3b-8def-bf4f-49f9-ccf976e70a60@esat.kuleuven.be> The research group KU Leuven ESAT-STADIUS is currently offering 3 PhD and 3 Postdoc (1 year, extendable) positions within the framework of the ERC (European Research Council) Advanced Grant E-DUALITY http://www.esat.kuleuven.be/stadius/E (PI: Johan Suykens) on Exploring Duality for Future Data-driven Modelling. Within this ERC project E-DUALITY we aim at realizing a powerful and unifying framework (including e.g. kernel methods, support vector machines, deep learning, multilayer networks, tensor-based models and others) for handling different system complexity levels, obtaining optimal model representations and designing efficient algorithms. The research positions relate to the following possible topics: -1- Duality principles -2- Multiple data sources and coupling schemes -3- Manifold learning and semi-supervised schemes -4- Optimal prediction schemes -5- Scalability, on-line updating, interpretation and visualization -6- Mathematical foundations -7- Matching model to system characteristics For further information and on-line applying, see https://www.kuleuven.be/personeel/jobsite/jobs/54681979" (PhD positions) and https://www.kuleuven.be/personeel/jobsite/jobs/54681807" (Postdoc positions) (click EN for English version). The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including data-driven modelling, neural networks and machine learning, nonlinear systems and complex networks, optimization, systems and control, signal processing, bioinformatics and biomedicine. From mjose.escobar at gmail.com Tue Jun 12 15:03:16 2018 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Tue, 12 Jun 2018 15:03:16 -0400 Subject: Connectionists: LACONEU2019 Summer School: Computational Neuroscience Message-ID: ----------------------------------------------------------------------- We have the pleasure to invite Graduate and Undergraduate students to participate in: ----------------------------------------------------------------------- LACONEU 2019 V Latin American Summer School in Computational Neuroscience Special Topic: Complex Systems and Network Connectivity January 7-25th, 2019 Valpara?so - CHILE http://www.laconeu.cl ----------------------------------------------------------------------- The principal aims of LACONEU 2019 Summer School are to disseminate and to develop Computational Neuroscience in Latin America, gathering researchers and students with common interests in the beautiful and historical city of Valparaiso, in Chile. LACONEU 2019 expects to foster a collaborative exchange between the attendees, researchers and students, based on fundamental theoretical and practical knowledge, and thus, to help the establishment of strong, long-term collaborations. This version also includes a WORKSHOP on January 16th, 2019 CONFIRMED SPEAKERS: - Demian Battaglia, Theoretical Neuroscience Group, INT, France - Joana Cabral, University of Oxford, UK - Bruno Cessac, INRIA Sophia-Antipolis, France - Dante Chialvo, Universidad Nacional de San Mart?n, Argentina - Rodrigo Cofr?, Universidad de Valpara?so, Chile - Mauro Copelli, Federal University of Pernambuco, Brazil - Maxime Descoteaux, Universit? de Sherbrook, Canada - Wael El-Deredy, Universidad de Valpara?so, Chile - Pamela Guevara, Universidad de Concepci?n, Chile - Mar?a-Jos? Escobar, Universidad T?cnica Federico Santa Mar?a, Valpara?so, Chile - Henrik Jensen, Imperial College London, UK - Thierry Mora, ?cole Normale Superi?ure, France - Patricio Orio, Universidad de Valpara?so, Chile - Adri?n Palacios, Universidad de Valpara?so, Chile - Tom?s P?rez Acle, Fundaci?n Ciencia y Vida, Chile - Peter Robinson, The University of Sydney, Australia - Fernando Rosas, Imperial College London, UK - In?s Samengo, Centro At?mico Bariloche e Instituto Balseiro, Argentina IMPORTANT DATES - Call for Applications: June 8th, 2018 - Application submission deadline: September 15th, 2018 (visit the webpage to see the details) - Acceptance notification: October 31st, 2018 TRAVEL GRANTS ARE AVAILABLE FOR LATIN AMERICAN STUDENTS Looking forward to see you in January! ----------------------------------------- Mar?a Jos? Escobar, Ph.D. Assistant Professor, Departamento de Electr?nica Universidad T?cnica Federico Santa Mar?a http://www.profesores.elo.utfsm.cl/~mjescobar -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Thu Jun 14 14:00:40 2018 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Thu, 14 Jun 2018 20:00:40 +0200 Subject: Connectionists: Call for Applications: Symposium and Summer School on the Logistics of Neuronal Function Message-ID: <6192325A-0C72-4445-B938-E1BEC7DCAB65@fias.uni-frankfurt.de> We invite applications from PhD students and post-docs to participate in a two-week summer course on the Logistics of Neuronal Function in Frankfurt am Main, Germany, from August 28 to September 7. Neurons face a variety of logistics challenges. They need to organize the production, transport, storage, and recycling of various molecules such as neurotransmitters, mRNA, and proteins to fill their extensive dendritic and axonal arbors. For example, most proteins have turnover rates of several days, which implies that neurons must organize the production and transport of vast numbers of proteins to maintain their structure and function. Due to their large size compared to other cells of the body, these problems are particularly severe for neurons. It is likely that evolution has driven neurons to find robust and efficient solutions to these challenges. So how do they organize production, transport, delivery, storage, and recycling processes and how are logistic failures related to nervous system disorders? This first workshop and summer school on the logistics of neuronal function bring together leading experimentalists, theoreticians, and method developers to exchange ideas on these fundamental questions. Organizers: Jochen Triesch, Frankfurt Institute for Advanced Studies Erin Schuman, MPI Brain Research, Frankfurt Tatjana Tchumatchenko, MPI Brain Research, Frankfurt Christian Tetzlaff, Georg-August University, Go?ttingen Confirmed Speakers of the Giersch International Symposium (August 28 - September 1): Maarten Altelaar, Utrecht, Netherlands Peter W. Baas, Drexel U., USA Upinder S. Bhalla, TIFR, India Long Cai, Caltech, USA Daniel Choquet, Bordeaux, France Guillame Drion, Liege, Belgium Seth Grant, University of Edinburgh, Scotland Kristian Franze, U. of Cambridge, UK Lukas Kapitein, Utrecht, Netherlands Ken Kosik, UC Santa Barbara, USA Timothy O?Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Jeremy Niven, U. of Sussex, UK Marianne Renner, Institut du Fer a Moulin, France Erik De Schutter, OIST, Japan Antoine Triller, E?cole Normale Superie?ure, France Noam Ziv, Technion, Israel Confirmed Giersch Summer School Lecturers (September 3 - 7): Eric Hosy, U Bordeaux, France Timothy O?Leary, Cambridge University, UK William W. Lytton, SUNY Downstate, USA Marianne Renner, Institut du Fer a Moulin, France Christian Tetzlaff, U. Go?ttingen, Germany Jochen Triesch, FIAS, Germany Special Public Talk by: Nobel Laureate Edvard Moser The third "Giersch International Symposium", will take place at the Frankfurt Institute for Advanced Studies. The conference series, funded by STIFTUNG GIERSCH gives young scientists the opportunity to learn from well known, exceptional researchers and to expand their networks. Accommodation and meals are provided free of charge. To apply visit: https://indico.fias.uni-frankfurt.de/event/11/overview and see the instructions there. Required materials include: CV, letter of recommendation from supervisor, poster abstract, and short text specifying the reason for participation. Application Deadline: June 30 Contact: gis2018 at fias.uni-frankfurt.de -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From trungdung.ngo at gmail.com Thu Jun 14 16:13:08 2018 From: trungdung.ngo at gmail.com (Ngo Trung Dung) Date: Thu, 14 Jun 2018 17:13:08 -0300 Subject: Connectionists: Several open PhD and Master positions in Robotics (www.morelab.org, Canada) Message-ID: Dear Colleagues, Please help me to distribute this email. Thanks, Trung Dung Ngo The Morelab.org has several open positions with full scholarship (tuition fees and living expenses). PhD and Master applicants with background in Engineering and Computer Science (Robotics, Control Engineering, Robot Vision and AI) are welcome. Good knowledge in Math and practical experience in Computer Programming are required. Hands-on skills in ROS and Matlab are highly expected. Position 1: High-level Perception for Human-robot Interaction and Collaboration Advanced knowledge in robot vision is required. Practical experience in sensor fusion and data association is plus. Position 2: Socially Capable Mobile Robot Navigation Good knowledge in robot perception, path planning, motion planning and control is required. Hands-on skills of system integration are highly expected. Position 3: Human-Robot Accompanying Navigation Good knowledge in robot vision, path planning, motion planning and control is required. Some knowledge in multi-robot systems or human-robot interaction could be useful. Position 4: Deep Reinforcement Learning for Socially aware Robot Navigation Advanced knowledge in machine learning for robotics is required. Practical experience in applied AI in robotics and autonomous systems is highly expected. English score (IELTS >= 7.0 or TOELF>= 100) and high GPA of your degree(s) are required for the graduate admission. Feel free to contact the lab director (morelab.org at gmail.com) for more information. Please send your CV, degrees and transcripts, samples of your research work along with a research statement to express your interests in a position. From a.stein at fz-juelich.de Thu Jun 14 11:52:31 2018 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Thu, 14 Jun 2018 17:52:31 +0200 Subject: Connectionists: Bernstein Conference 2018 in Berlin: Registration is open Message-ID: <8afc1a58-18b0-22d3-1d84-ac0a2c8e717b@fz-juelich.de> BERNSTEIN CONFERENCE 2018 in Berlin Registration is open! Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration Early registration deadline: July 19, 2018 ABSTRACT SUBMISSION: For the details on abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts Deadline for abstracts aimed as contributed talks and posters: June 21, 2018 Deadline for abstracts aimed as posters only: July 17, 2018 **************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops Main Conference: www.bernstein-network.de/en/bernstein-conference/2018 PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium **************************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience Conference in Europe and now regularly attracts around 500 international participants. This year, the Conference will take place in Berlin from September 26-28, 2018. In addition, there will be a series of pre-conference satellite workshops on September 25-26, 2018. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology. Sessions for poster presentations are an integral part of the conference. The goal of the satellite workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universit?t Berlin (TU Berlin) Main Building, Strasse des 17. Juni 135, 10623 Berlin PhD Symposium: September 28-29, 2018 Venue: Bernstein Center for Computational Neuroscience Berlin, Philippstra?e 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder BERNSTEIN CONFERENCE 2018 in Berlin Registration is open! Please register here: www.bernstein-network.de/en/bernstein-conference/2018/registration Early registration deadline: July 19, 2018 ABSTRACT SUBMISSION: For the details on abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts Deadline for abstracts aimed as contributed talks and posters: June 21, 2018 Deadline for abstracts aimed as posters only: July 17, 2018 **************************************************************************** Satellite Workshops: www.bernstein-network.de/en/bernstein-conference/2018/satellite-workshops Main Conference: www.bernstein-network.de/en/bernstein-conference/2018 PhD Symposium: www.bernstein-network.de/en/bernstein-conference/2018/phd-symposium **************************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience Conference in Europe and now regularly attracts around 500 international participants. This year, the Conference will take place in Berlin from September 26-28, 2018. In addition, there will be a series of pre-conference satellite workshops on September 25-26, 2018. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology. Sessions for poster presentations are an integral part of the conference. The goal of the satellite workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de CONFERENCE DATE AND VENUE: Satellite Workshops: September 25-26, 2018 Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (10 min. walk to Bernstein Main Conference venue) Main Conference: September 26-28, 2018 Venue: Technische Universit?t Berlin (TU Berlin) Main Building, Strasse des 17. Juni 135, 10623 Berlin PhD Symposium: September 28-29, 2018 Venue: Bernstein Center for Computational Neuroscience Berlin, Philippstra?e 13, Haus 6, 10115 Berlin NEW THIS YEAR: Postdoc Meeting: September 25, start 7:00 pm Venue: Technische Universit?t Berlin (TU Berlin), Marchstrasse 23, 10587 Berlin (in the same building as the Satellite Workshops) This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. PhD Social Event: September 25, start 8:00 pm Venue: depends on the number of participants Warm-up for PhD Symposium ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein at fz-juelich.de web: www.bernstein-network.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nhf at umd.edu Fri Jun 15 07:51:34 2018 From: nhf at umd.edu (Naomi Feldman) Date: Fri, 15 Jun 2018 07:51:34 -0400 Subject: Connectionists: Postdoc in computational modeling of language at the University of Maryland Message-ID: We invite applications for a postdoctoral position in computational modeling of language at the University of Maryland, co-advised by Naomi Feldman and Jan Edwards. The postdoc will be part of an NIH-funded project, in collaboration with Pat Shafto at Rutgers University-Newark, that uses models of pedagogical reasoning to predict which language interventions will be most effective for helping children with Specific Language Impairment learn grammatical morphemes. Experience with probabilistic models of language acquisition and interests in morphological processing and/or language disorders would be helpful, but anyone who is interested in the position is encouraged to apply. The appointment can be made through either the Department of Linguistics, the Institute for Advanced Computer Studies, or the Language Science Center. The starting date is flexible, and can be August 1, 2018 or later. The initial appointment will be through summer 2019, with the possibility of extension. The University of Maryland is home to an extensive interconnected network of over 200 language scientists that spans 22 different departments and centers (http://languagescience.umd.edu). The person hired for this position will have opportunities to interact regularly with colleagues from linguistics, hearing and speech, computer science, and other units on campus, and will be a member of the Computational Linguistics and Information Processing Lab (http://clip.umiacs.umd.edu). The PIs are committed to supporting the success of trainees who belong to groups that are underrepresented in academia and in computing. To apply, please send a CV, research statement, writing sample, and contact information for three references to nhf at umd.edu (letters are not needed as part of the initial application). Review of applications will begin July 2 and will continue until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kripa.ghosh at gmail.com Fri Jun 15 08:00:06 2018 From: kripa.ghosh at gmail.com (Kripa Ghosh) Date: Fri, 15 Jun 2018 17:30:06 +0530 Subject: Connectionists: [2nd CFP] CIKM 2018 Workshop on Legal Data Analytics and Mining (LeDAM 2018) Message-ID: [apologies for cross-posting ] CALL FOR PAPERS: Workshop on Legal Data Analytics and Mining (LeDAM 2018) In conjunction with ACM International Conference on Information and Knowledge Management (CIKM) 2018 Turin, Italy | 22nd October 2018 Website : https://sites.google.com/site/legaldam2018/ Legal data mining is the subarea of data mining applied to legal texts, such as legislation, case law, patents, and scholarly works. Legal data mining systems are key to providing easier access to law for both common persons and legal professionals. This area is becoming increasingly important, because of the rapidly growing volume of legal cases and documents available in digital formats. The broad goals of the LeDAM workshop are: - to promote research in legal data analytics by fostering collaboration between the legal data mining practitioners and the data mining research community at large, - to improve awareness among the legal community about the state of the art models, techniques and algorithms developed by the data mining community that can potentially benefit the problems, and - to identify new research opportunities in data mining that arise from legal applications. We invite academic and industrial/governmental researchers and legal professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of data mining in the legal domain. === Topics of interest === We are interested to receive paper submissions on all aspects of legal data mining. Topics of interest include but are not limited to: 1. Applications of data mining, machine learning and natural language processing techniques for the legal domain, for tasks such as summarization of legal document, precedence retrieval, argument mining, legal text classification, and so on 2. Answering natural language queries (primarily in layman language) with legal information 3. Discovery of electronically stored information for legal applications (eDiscovery) 4. Data mining and Information retrieval from patents, contracts, and other types of legal documents 5. Legal knowledge representation, including legal ontologies, knowledge graphs and common sense knowledge 6. Automated information extraction from legal databases and texts 7. Conceptual and model-based legal information retrieval 8. Applications of neural networks and deep learning techniques on legal data 9. Modelling norms and legal reasoning for multi-agent systems 10. Modelling negotiation and contract formation 11. Online dispute resolution 12. Intelligent support systems for the legal domain 13. Formal and computational models of legal reasoning, including argumentation, evidential reasoning, legal interpretation, and decision making === Paper submissions === All papers must be submitted in PDF in ACM sigconf format ( https://www.acm.org/publications/proceedings-template). All papers must be written in English. We will consider three types of papers: - Full papers, describing completed works relevant to the theme (8-10 pages) - Short papers, describing preliminary ideas or work (4-6 pages) - Position/Vision papers, describing novel and practically important problems (2 pages) Submitted papers will be peer-reviewed, and the accepted papers will be included in the workshop proceedings that will be published online on CEUR ( http://ceur-ws.org/). At least one author of each accepted paper is required to register for the workshop (as per rules of the conference) and present the paper at the workshop. === Important dates === Paper submission deadline: July 10, 2018 Notifications of acceptance: August 15, 2018 Camera ready deadline: August 27, 2018 Workshop: October 22, 2018 All times are 23:59 in Anywhere-on-Earth timezone. ===Invited Talks=== Giovanni Sartor, European University Institute, Italy Luigi Di Caro, University of Turin, Italy Adam Zachary Wyner, Swansea University, United Kingdom === Technical Program Committee === Adam Wyner, Swansea University, Swansea, UK Charles K. Nicholas, University of Maryland Baltimore County, USA David Lewis, Dave Lewis, Brainspace (A Cyxtera Business), USA Girish Keshav Palshikar, Tata Consultancy Services, India Jack G. Conrad, Thomson Reuters, USA Jeroen Keppens, King?s College London, UK Karl Branting, MITRE Corporation, USA Katie Atkinson, University of Liverpool, UK Ken Satoh, National Institute of Informatics, Japan Kevin Ashley, University of Pittsburgh, USA Matthias Grabmair, Carnegie Mellon University, USA Maura Grossman, University of Waterloo, Canada Mi-Young Kim, University of Alberta, Canada Mossab Bagdouri, Walmart Labs, USA Paulo Quaresma, Universidade de Evora, Portugal Prasenjit Majumder, DAIICT, India William Webber, William Webber Consulting, Australia === Organizing Committee === Arindam Pal, TCS Research and Innovation, India ( http://www.cse.iitd.ernet.in/~arindamp/) Arnab Bhattacharya, Indian Institute of Technology Kanpur, India ( https://www.cse.iitk.ac.in/users/arnabb/) Indrajit Bhattacharya, TCS Research and Innovation, India ( https://sites.google.com/site/indrajitb/) Kripabandhu Ghosh, Indian Institute of Technology Kanpur, India ( https://www.cse.iitk.ac.in/users/kripa/) Lipika Dey, TCS Research and Innovation, India (http://sites.tcs.com/blogs/ research-and-innovation/author/dr-lipika-dey) Marie-Francine Moens, KU Leuven, Belgium (https://people.cs.kuleuven. be/~sien.moens/) Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India ( http://cse.iitkgp.ac.in/~saptarshi/) For details, see https://sites.google.com/site/legaldam2018/ Kind Regards, *Kripabandhu Ghosh* Co-organizer LeDAM 2018 Workshop CIKM 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.johnson at mq.edu.au Thu Jun 14 19:48:09 2018 From: mark.johnson at mq.edu.au (Mark Johnson) Date: Thu, 14 Jun 2018 23:48:09 +0000 Subject: Connectionists: PhD scholarships for NLP and Deep Learning at Macquarie University in Sydney, Australia Message-ID: <7C58CA6F-A482-4440-80BD-3A60CF0531DC@contoso.com> A new round of competitive PhD scholarships at Macquarie University has opened for both Australian and non-Australian students, and we are encouraging top students in all areas of Natural Language Processing and Machine Learning to apply. Complete applications must be received by the 31st July, 2018. Successful applicants will have a strong academic background and a good research record. We encourage students interested in the intersection of Natural Language Processing and Deep Learning to apply. Specific research topics include semantic parsing, dialog systems, information extraction, language learning and vision and language. Successful applicants should have a strong background in algorithms, linear algebra and calculus, and prior experience with packages such as PyTorch or TensorFlow. For information about our group see http://web.science.mq.edu.au/~mjohnson/. General information about the application process and the International Postgraduate Research Scholarships (IPRS) is here: https://www.mq.edu.au/research/phd-and-research-degrees/scholarships/hdr-main-scholarship-rounds/. You should email me (Mark dot Johnson @ MQ dot edu dot au) to discuss your specific research topic. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hbilen at ed.ac.uk Fri Jun 15 02:55:26 2018 From: hbilen at ed.ac.uk (Hakan Bilen) Date: Fri, 15 Jun 2018 07:55:26 +0100 Subject: Connectionists: PhD Studentship in Biology and Machine Learning at University of Edinburgh Message-ID: <6aa52d07-d5e4-50df-1bb0-f5904f21c681@ed.ac.uk> Dear all, We are seeking an exceptional UK and EU (who have been resident in the UK for three years) PhD candidate to study at the University of Edinburgh. The successful candidate will have an opportunity to study in the prestigious EASTBIO Training Programme (http://www.eastscotbiodtp.ac.uk/training-overview) and work on a cutting edge project, applying deep learning techniques to the study of the temporal and spatial control of DNA replication in mouse embryonic stem cells. The goal is to design deep convolutional neural networks and machine learning algorithms that learn from large amounts of images to classify them ACCURATELY and EXPLAINABLY. The candidate will be supervised by Dr Sara Buonomo from Biological Sciences and Dr Hakan Bilen from Informatics. More details of the project can be found at the link: http://www.eastscotbiodtp.ac.uk/development-machine-learning-based-approach-analysis-dna-replication-primary-mammalian-cells-0 *EastBio PhD Programme* The EASTBIO programme is designed to provide training for students with diverse backgrounds, including bioscience, biomedical, mathematical and physical sciences, enabling students to draw on a range of technologies and approaches to address biological questions. The programme structure will be tailored to the individual student?s background, training needs and the nature of the research project. *PhD candidate requirements* We are looking for creative and motivated applicants with, or expected to obtain soon, a 1st Class Honours degree in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Basic programming skills (python, c++, MATLAB) are required. Previous experience on machine learning and computer vision, for example object recognition and segmentation is appreciated but not a requirement. Background in Biology is not a requirement. The EASTBIO programme will support the candidate with a tailored training for the needs of the student and the research project. *Funding* This is a UKRI BBSRC funded award and will provide an annual stipend for four years, plus University fees for UK/EU (with residency requirements) students. *Application* If you are interested in the position, please apply via the EASTBIO website (http://www.eastscotbiodtp.ac.uk/how-apply-0). The application deadline is July 4 2018. For queries and informal discussions about the project, please contact Sara Buonomo (Sara.Buonomo at ed.ac.uk) and/or Dr Hakan Bilen (hbilen at ed.ac.uk). Hakan -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From george at cs.ucy.ac.cy Fri Jun 15 04:34:16 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 15 Jun 2018 11:34:16 +0300 Subject: Connectionists: 2018 European Conference on Ambient Intelligence (AmI 2018): Final Call for Papers (*** deadline extension***) Message-ID: *** FINAL CALL FOR PAPERS *** 2018 European Conference on Ambient Intelligence (AmI 2018) Golden Bay Beach Hotel, Larnaca, Cyprus, 12-14 November, 2018 http://www.cyprusconferences.org/ami2018 *** Submission Deadline: 27th June 2018 (extended) *** Ambient intelligence refers to normal working and living environments being surrounded by embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g. The Internet of Things). Such devices, each specialised in one or more capabilities, are intended to work together based on an infrastructure of intelligent systems, to provide a variety of services improving safety, security and the quality of life in ordinary living, travelling and working environments. ABOUT AMI 2018 The 2018 European Conference on Ambient Intelligence (AmI 2018) has a focus on the role of Ambient Intelligence "Towards a Smart and Human Centered Internet of Things". We invite submissions of full and short papers as well as posters, presenting original research. AmI 2018 is an interdisciplinary venue for leading international researchers, designers, and practitioners that present and discuss new results in Ambient Intelligence. AmI builds on the success of thirteen predecessor conferences, which started in 2003 with the EUSAI-event in Veldhoven, The Netherlands. More information about the AmI series can be found here: http://ami-conferences.org . The Proceedings of AmI 2018 will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Furthermore, Springer will sponsor the Best Paper Award with 1,000 EUR. TOPICS AmI 2018 will revolve around the focus topic ?Towards a Smart and Human- Centred Internet of Things? that follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities. Relevant research topics include, but are not limited to: ? Sensors and Actuators Networks ? Ambient Networking and Communication ? Mobile, Ubiquitous and Pervasive Computing ? Internet of Things and Interconnected devices ? Internet of Humans and Human Sensors ? Artificial Intelligence Models, Methods and Techniques ? Machine Learning, Data mining and Big Data ? Modelling Context Awareness and Location-based Services ? Agent Technologies and Multi-agent Platforms ? Cloud Computing for Intelligent Ambients ? Multimodal Human-Computer Interaction ? Virtual, Mixed and Augmented Reality ? Symmetric Interaction in Real and Virtual worlds ? Reliability, Assurance and Safety ? Security, Privacy and Trust ? Systems Architecture and Middleware ? Software Development Methodologies and Tools ? Robotic Companions ? Industrial Internet and Industry 4.0 ? Sustainability and Fair Trade ? Smart Homes and Intelligent buildings ? Energy Efficiency ? Ambient Assisted Living ? Healthcare and Well-being ? Smart Cities ? Connected Cars and Autonomous Driving ? Pervasive Games in Hybrid Worlds ? Ambient Intelligence Education ? Evaluation methods and techniques for Trials ? Citizen science, Living labs, Maker communities PAPER AND POSTER SUBMISSION Papers must be anonymized to facilitate blind review. Authors are encouraged to minimize any references that may reveal the identity of the authors and their institutions. Relevant references to an author's previous research should not be suppressed but instead referenced in a neutral way. All papers will be reviewed by at least three Program Committee members. The length of each paper including figures and references may not exceed 16 pages for regular papers and 6 pages for short papers. The posters session aims to collect papers showing work in progress and thus raise opportunities to present and discuss current work in an informal setting. These papers will be presented as posters in the conference. Poster contributions may not exceed 2 pages, including figures and references. For more information about what should be considered a regular, short or poster contribution, please refer to the conference web site. All paper and poster submissions must be written in English and submitted in PDF format. Submission of a paper or poster should be regarded as an undertaking that, should the paper or poster be accepted, at least one of the authors will attend the conference to present the work. For preparation of papers and posters please follow the instructions for authors available at the Springer LNCS Web page (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Authors of full and short papers as well as posters are welcome to submit using the conference review system: https://easychair.org/conferences/?conf=ami2018 . This year's best paper awards are graciously sponsored by Springer with 1,000 EUR. SPECIAL ISSUE The authors of the best papers to be accepted at AmI 2018 will be invited to submit substantially extended and revised versions of their papers with at least 70% new material to a special journal issue for AmI 2018 to be published in the Journal of Ambient Intelligence and Humanised Computing, by Springer. IMPORTANT DATES ? Paper and Poster Submissions due: 27th June 2018 (***extended***) ? Notification of Acceptance/Rejection: 22nd July 2018 ? Camera-Ready Versions due: 29th July 2018 ? Author Registration: 5th August 2018 ORGANIZING COMMITTEE General Chair ? George Roussos, Birkbeck, University of London, UK Program Chairs ? Achilleas D. Kameas, Hellenic Open University, Greece ? Kostas Stathis, Royal Holloway, University of London, UK Workshops Chairs ? Ioannis Chatzigiannakis, University of Rome, Italy ? Fariba Sadri, Imperial College, UK Local Organization Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Fri Jun 15 07:58:31 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Fri, 15 Jun 2018 20:58:31 +0900 Subject: Connectionists: [CFP] IROS-2018 Workshop: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens Message-ID: CALL FOR PAPERS **Apologies for cross posting ** We are pleased to call for papers for the IROS-2018 workshop: "*Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens*" In conjunction with the *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)** - Madrid - Spain - October * *5th, 2018* *Webpage: **http://intelligent-social-robots-ws.com/* *I. Aim and Scope *Robots that cook creatively, clean up our rooms dutifully, entertain our guests wittily and keep us company loyally. Robots that assist human users in their daily chores and provide support in times of need. Researchers around the world have envisioned such robot companions for a long time. Thanks to numerous innovations in sensor technology and software development, robots are now increasingly able to plan complex tasks in unknown environments, learn from experience and adapt to changes in the environment. The greatest challenges in robotics now lie in the development of robot skills and high-level AI-based functionalities that enable robots to work effectively in close collaboration with humans. Aside from the numerous technical challenges, which must be overcome before this vision can become a reality, multi-disciplinary research efforts are also invested into the social engineering of robots. In order to engineer ?smart? robots that we accept, trust and welcome into our homes, it is paramount that we identify and investigate the factors that affect social interactions between humans and robots. For this purpose, computer scientists, AI researchers, engineers and psychologists tackle important questions that will determine whether robots will be perceived as helpful and reliable companions or as irritating nuisances. How should robots look, behave and communicate with us? What are our expectations of robot behavior in a social context? How can robots learn using the capabilities of their environments to achieve tasks and to address the needs of their human co-inhabitants? What kind of robot intelligence is required for what kind of tasks? In this workshop, participants will discuss with seasoned experts and young researchers what defines social and artificial intelligence for ?smart? robots and how modern technological advances can equip robots with such intelligence. As such, this workshop aims to shed light on the intersection between cognitive science, artificial intelligence, and robotics research both from the theoretical and technical perspectives. Recent advances and possible avenues for future research in the field of ?smart? robotics are principal topics of discussion during the workshop. ** *This workshop is endorsed by the IEEE Technical Committees*: *Human-Robot Interaction and Coordination, Cognitive Robotics, and Robot Learning*. *II. Keynote Speakers * 1. * Angelo Cangelosi *? University of Manchester/Plymouth ? UK 2. *Yiannis Aloimonos *? University of Maryland ? USA 3. * Selma Sabanovic *? Indiana University ? USA 4. *Michael Beetz* ? University of Bremen ? Germany 5. *Matthias Scheutz *? Tufts University ? USA *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission * . 2. Use the IEEE style (two-column format ? US letter): *IEEE Templates *. 3. Submitted papers should be limited to 2-6 pages maximum. The primary list of topics covers the following points (but not limited to): - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Cloud robotics and ubiquitous computing - Ambient assisted living - Human intention recognition and prediction - Robot acceptance - Social engineering - Language learning, embodiment, and social intelligence - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Learning by demonstration and imitation - Language and grammar induction in robots * IV. Important Dates * 1. Paper submission: *20-August-2018 * 2. Notification of acceptance: *30-August-2018* 3. Camera-ready version:* 7-September-2018 * 4. Workshop: *5-October-2018* *V. Organizers * 1. *Amir Aly *? Ritsumeikan University ? Japan 2. *Sascha Griffiths *? Hamburg University ? Germany 3. * Verena Nitsch *? Bundeswehr University ? Germany 4. *Katerina Pastra* ? Cognitive Systems Research Institute ? Greece 5. *Tadahiro Taniguchi* ? Ritsumeikan University ? Japan -------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Fri Jun 15 09:02:06 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Fri, 15 Jun 2018 22:02:06 +0900 Subject: Connectionists: [CFP] IROS-2018 Workshop: Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens Message-ID: CALL FOR PAPERS **Apologies for cross posting ** We are pleased to call for papers for the IROS-2018 workshop: "*Towards Intelligent Social Robots: From Naive Robots to Robot Sapiens*" In conjunction with the *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)** - Madrid - Spain - October * *5th, 2018* *Webpage: **http://intelligent-social-robots-ws.com/* *I. Aim and Scope *Robots that cook creatively, clean up our rooms dutifully, entertain our guests wittily and keep us company loyally. Robots that assist human users in their daily chores and provide support in times of need. Researchers around the world have envisioned such robot companions for a long time. Thanks to numerous innovations in sensor technology and software development, robots are now increasingly able to plan complex tasks in unknown environments, learn from experience and adapt to changes in the environment. The greatest challenges in robotics now lie in the development of robot skills and high-level AI-based functionalities that enable robots to work effectively in close collaboration with humans. Aside from the numerous technical challenges, which must be overcome before this vision can become a reality, multi-disciplinary research efforts are also invested into the social engineering of robots. In order to engineer ?smart? robots that we accept, trust and welcome into our homes, it is paramount that we identify and investigate the factors that affect social interactions between humans and robots. For this purpose, computer scientists, AI researchers, engineers and psychologists tackle important questions that will determine whether robots will be perceived as helpful and reliable companions or as irritating nuisances. How should robots look, behave and communicate with us? What are our expectations of robot behavior in a social context? How can robots learn using the capabilities of their environments to achieve tasks and to address the needs of their human co-inhabitants? What kind of robot intelligence is required for what kind of tasks? In this workshop, participants will discuss with seasoned experts and young researchers what defines social and artificial intelligence for ?smart? robots and how modern technological advances can equip robots with such intelligence. As such, this workshop aims to shed light on the intersection between cognitive science, artificial intelligence, and robotics research both from the theoretical and technical perspectives. Recent advances and possible avenues for future research in the field of ?smart? robotics are principal topics of discussion during the workshop. ** *This workshop is endorsed by the IEEE Technical Committees*: *Human-Robot Interaction and Coordination, Cognitive Robotics, and Robot Learning*. *II. Keynote Speakers * 1. * Angelo Cangelosi *? University of Manchester/Plymouth ? UK 2. *Yiannis Aloimonos *? University of Maryland ? USA 3. * Selma Sabanovic *? Indiana University ? USA 4. *Michael Beetz* ? University of Bremen ? Germany 5. *Matthias Scheutz *? Tufts University ? USA *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission * . 2. Use the IEEE style (two-column format ? US letter): *IEEE Templates *. 3. Submitted papers should be limited to 2-6 pages maximum. The primary list of topics covers the following points (but not limited to): - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Cloud robotics and ubiquitous computing - Ambient assisted living - Human intention recognition and prediction - Robot acceptance - Social engineering - Language learning, embodiment, and social intelligence - Computational modeling for high-level human cognitive functions - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Language and action development - Learning, reasoning, and adaptation in collaborative human-robot tasks - Affordance learning - Learning by demonstration and imitation - Language and grammar induction in robots * IV. Important Dates * 1. Paper submission: *20-August-2018 * 2. Notification of acceptance: *30-August-2018* 3. Camera-ready version:* 7-September-2018 * 4. Workshop: *5-October-2018* *V. Organizers * 1. *Amir Aly *? Ritsumeikan University ? Japan 2. *Sascha Griffiths *? Hamburg University ? Germany 3. * Verena Nitsch *? Bundeswehr University ? Germany 4. *Katerina Pastra* ? Cognitive Systems Research Institute ? Greece 5. *Tadahiro Taniguchi* ? Ritsumeikan University ? Japan -------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From marianne.clausel at univ-lorraine.fr Fri Jun 15 11:47:31 2018 From: marianne.clausel at univ-lorraine.fr (Marianne Clausel) Date: Fri, 15 Jun 2018 17:47:31 +0200 Subject: Connectionists: =?utf-8?q?NEW_M=2ESc=2E_Program_in_Natural_Langua?= =?utf-8?q?ge_Processing_=28NLP=29_and_Data_Science_Universit=C3=A9_de_Lor?= =?utf-8?q?raine=2C_Nancy_=28France=29?= Message-ID: [sorry for cross-posting] ------------------------------------------------------------------------------------------------ NEW M.Sc. Program in Natural Language Processing (NLP) and Data Science Universit? de Lorraine, Nancy (France) The Institute of Digital science, Management and Cognition is opening a a new Masters Program in NLP - ?? Computer Sciences, Speech, Language and Knowledge Representation ************** http://institut-sciences-digitales.fr/idmc-master-degree-in-natural-language-processing/ ************** So you want to be a specialist in Neural Networks, Logic, Speech Processing, Information Retrieval, Knowledge Representation ... all for Natural Language? Well, now's your chance! Natural Language Processing (NLP) lies at the crossroads of linguistics, computer science and artificial intelligence. This Masters Program offers a modern curriculum which combines the different approaches, and ?covers both theoretical and applied perspectives. In each semester, the program includes a hands-on project. It ends with a 6-month paid internship in a company or a research lab. You can find the course description below. ---------------------------------------------------------------------------------------- You can apply to directly enter at either the first year or second year level. ---------------------------------------------------------------------------------------- Language ------------- All courses are taught in English (except the "French for non-native Speakers" class). Fees ------- The University of Lorraine is publicly funded and thus offers tuition-free education for all students including students from both inside and outside EU/EEA/EFTA countries. The only student expenditures are a nominal semester fee of about 600 euros which includes health insurance. Nancy?s high quality of life goes hand-in-hand with a low cost of living. Why Nancy? --------------- Nancy is a center of excellence for NLP. It can boast of: 1/Two important research units: - LORIA, the computer science research laboratory http://www.loria.fr/en/ - ATILF the linguistic research laboratory lab http://www.atilf.fr/ Both research units participate in many national and international research projects. Their members are highly visible in the international community and regularly publish in the most prestigious conferences and journals of the field. 2/ Two Erasmus Mundus Masters funded by the European Union : - Erasmus Mundus Master Language and Communication Technology (LCT) http://lct-master.org/ - Erasmus Mundus Master EMLex. https://www.emlex.phil.fau.eu/ Why NLP? -------------- Natural Language Processing is a rapidly expanding field. With the proliferation of digital data, there is a massive need for well-trained engineers and researchers able to exploit this data for commercial (for example: e-commerce, recommendation systems and translation) and socio-political (for example: e-learning, opinion mining, and behavioural predictions) purposes. Start-ups, small firms with strong R&D profiles and large companies (in France this includes Airbus, Thales, EDF, and Orange) are looking for scientists and engineers who can contribute to the development of systems capable of managing and exploiting textual data. The GAFAM (Google, Amazon, Facebook, Apple, Microsoft) also recruit intensively in both the NLP and the Speech processing domain. There is also a strong need for Ph.D. candidates in the field, as is demonstrated by the many Ph.D. proposals in both the public and the industrial domain. Contacts ------------ Head of the Nancy NLP Master : Maxime Amblard maxime.amblard at univ-lorraine.fr Secretary : Karine Weisse karine.weisse at univ-lorraine.fr Location of the courses : ? ? ? ? ?cole des Mines (Artem Campus, Tram stop "Blandan") http://www.alliance-artem.fr/ Application --------------- The application file is available here: https://ecandidat.univ-lorraine.fr follow : - Institut des sciences du digital, management et cognition - Master - M1-Traitement Automatique des Langues (TAL) (NANCY) (FI) ? ?or - M2-Traitement Automatique des Langues (TAL) More information: http://institut-sciences-digitales.fr/application-process-nlp-master-degree/#application Academic Year 2018-2019 ----------------------------------- From 3rd to 13th September 2018: Refresher courses in mathematics (probability theory and statistics) and computer science (algorithms and programming). M1: ? ? ? ? 1st semester from September 17th to January 11th ? ? ? ? 2nd semester from January 14th to June 6th M2: ? ? ? ? 1st semester from September 17th to February 15th ? ? ? ? Internship from February to August In brief ---------- ? A program with strong national and international visibility ? Taught entirely in English ? A high quality research environment with two research centers covering a wide range of disciplines (linguistics, computer science, speech and language processing) and applications (human-machine interfaces, speech processing, knowledge extraction, statistical machine translation, etc.) ? Studies in a vibrant, human-size city ? Low cost study (tuition fees at around 600 euros per year, including health insurance) Courses Description --------------------------- M1 Semester 1 --------------------------- PROBABILITIES, STATISTICS AND ALGORITHMS FOR AI ? ? ? ? ? Elementary mathematical tools, statistics, algorithms to define and solve artificial intelligence problem ? ? ? ? ? Case study approach towards mastering both theoretical and practical aspects of a topic DESIGN AND ACQUISITION OF CORPORA ? ? ? ? ? Written corpora ? ? ? ? ? Speech corpora SOFTWARE ENGINEERING ? ? ? ? ? Collecting, analysing and formalizing customers' needs ? ? ? ? ? Software design and development ? ? ? ? ? Functional analysis and specifications ? ? ? ? ? Project management LINGUISTICS FOR NLP (1) ? ? ? ? ? Methods for Natural Language Processing ? ? ? ? ? Phonology ? ? ? ? ? Morphology PROJECT AND FOREIGN LANGUAGE ? ? ? ? ? Hands-on project ? ? ? ? ? Foreign language (French) --------------------------- M1 Semester 2 --------------------------- MACHINE LEARNING AND SEMANTIC WEB ? ? ? ? ? Machine learning theory ? ? ? ? ? Data mining ? ? ? ? ? Knowledge extraction FORMAL TOOLS ? ? ? ? ? Logic ? ? ? ? ? Formal languages ? ? ? ? ? Calculability and complexity DATA PROCESSING ? ? ? ? ? Storage and retrieval ? ? ? ? ? Data analysis LINGUISTICS FOR NLP (2) ? ? ? ? ? Lexicology : lexical units and phraseology ? ? ? ? ? Syntax ? ? ? ? ? Semantics PROJECT AND FOREIGN LANGUAGE ? ? ? ? ? Hands-on project ? ? ? ? ? Scientific communication ? ? ? ? ? Foreign Language (French) --------------------------- M2 Semester 1 --------------------------- DEEP LEARNING AND DATA MINING ? ? ? ? ? Neural Networks, Deep Neural Networks ? ? ? ? ? Data mining (structured data and text) ? ? ? ? ? Collaborative filtering TEXT AND SPEECH PROCESSING ? ? ? ? ? Processing Textual Data ? ? ? ? ? Speech processing ? ? ? ? ? Terminology and ontology NATURAL LANGUAGE PROCESSING AND DISCOURSES ? ? ? ? ? Application to text ? ? ? ? ? Computational semantics ? ? ? ? ? Discourse and Dialog modeling LEXICONS AND GRAMMARS FOR NLP ? ? ? ? ? Diachronic and synchronic lexicology ? ? ? ? ? Lexical resources ? ? ? ? ? Syntactic framework PROJECTS AND FOREIGN LANGUAGE ? ? ? ? ? Software project ? ? ? ? ? Law and ethics ? ? ? ? ? Research methods ? ? ? ? ? Professional integration ? ? ? ? ? Foreign language courses (French) --------------------------- M2 Semester 2 --------------------------- Paid internship (company or research lab) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Fri Jun 15 11:33:34 2018 From: Pavis at iit.it (Pavis) Date: Fri, 15 Jun 2018 15:33:34 +0000 Subject: Connectionists: Postdoc position on dynamic 3D scene understanding - [Post Doc] BC 74461 In-Reply-To: <0763c178c5bf4e9d9ea6aea5aa4aeeb6@iit.it> References: , <6eb63c90420748aa9287a27302436ec2@iit.it>, <0763c178c5bf4e9d9ea6aea5aa4aeeb6@iit.it> Message-ID: Postdoc position on dynamic 3D scene understanding - [ Postdoc ] Workplace: Genova, Italy The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CV?s for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the large-scale understanding of data from the nano up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners). The scientific core of the Line is related to the research fields of Computer Vision, Signal Processing, and Machine Learning with the primary goal to provide algorithms for: ?Reality Capture: 3D reconstruction from images, sound and range data; ?Dynamic 3D scene understanding from video and RGBD data; ?Large-scale data clustering and modelling for Life Science and Engineering. Expertise in these research fields is applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, automation, energy, avionics, photonics and fashion industries. We are opening a postdoc position to work on 3D scene understanding with topics related to recent lab achievements in structure from motion (Magerand & Del Bue, ICCV2017 oral), object scene 3D reconstruction (Crocco et al., CVPR 2016), and semantic object 3D localization (Rubino et al., PAMI 2017). As this previous work mainly deals with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in dynamic and non-rigid environments. The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data. Proven scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is also a relevant criterion for the selection. The candidate will be also involved in Ph.D. students supervision and will collaborate in grant proposal writing. Strong programming skills are a requirement and experience on deep learning is considered a plus. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Vision, Engineering, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate with qualifications and experience. Please send the application, including a CV with publication list, a brief description of research interests and main accomplishments and names of two referees to pavis at iit.it quoting ?Postdoc VGM position BC 74461? in the email subject. The call will remain open until the position is filled but the first deadline for evaluation of candidates will be July 16th, 2018. Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using a computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From v.steuber at herts.ac.uk Fri Jun 15 12:29:28 2018 From: v.steuber at herts.ac.uk (Steuber, Volker) Date: Fri, 15 Jun 2018 16:29:28 +0000 Subject: Connectionists: Professorship in Artificial Intelligence In-Reply-To: <1527249156023.61617@herts.ac.uk> References: <1496229607391.68206@herts.ac.uk>, <1527249156023.61617@herts.ac.uk> Message-ID: <1529080128822.22268@herts.ac.uk> Professor of Artificial Intelligence University of Hertfordshire, UK School of Computer Science, College Lane Campus, Hatfield Salary ?58,293 to ?64,397 pa dependent on skills and experience FTE: Full time position working 37 hours per week (1.0FTE) Duration of Contract: Permanent position Closing date: 3 September 2018 Applications are invited for an exceptionally well qualified Professor of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. The School hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. We encourage applications from researchers across a wide spectrum of AI, and particularly encourage applications from researchers working on emerging topics in AI. Possible fields include, but are not limited to: ? Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms ? Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics ? Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation ? Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization ? Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI ? AI and applications: financial modelling, AI and biology/physics/cognitive sciences ? Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda, and will actively contribute to increase research impact of the School, in the enthusiastic, welcoming and collegiate environment of the school. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the relevant Artificial Intelligence community and management and leadership ability. The professor will have opportunity to contribute actively to interdisciplinary research projects at the school and university level. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016194?. Informal enquiries may be addressed to Dr Volker Steuber (Associate Dean Research, v.steuber at herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin at herts.ac.uk). Please note that applications sent directly by email will not be accepted. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Sat Jun 16 05:40:06 2018 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Sat, 16 Jun 2018 05:40:06 -0400 Subject: Connectionists: =?utf-8?q?2nd_Call_for_Papers_JEMR_Special_Themat?= =?utf-8?q?ic_Issue=3A_=22Microsaccades_-_Empirical_Research_and_Me?= =?utf-8?q?thodological_Advances=E2=80=9C?= In-Reply-To: <043d01d40555$94165e80$bc431b80$@neuralcorrelate.com> References: <043b01d40555$72499150$56dcb3f0$@neuralcorrelate.com> <043d01d40555$94165e80$bc431b80$@neuralcorrelate.com> Message-ID: <044701d40556$0620db90$126292b0$@neuralcorrelate.com> 2nd Call for Papers: Journal of Eye Movement Research, Special Thematic Issue: "Microsaccades: Empirical Research and Methodological Advances" With the availability of affordable high speed eye tracking devices, microsaccades have come into the focus of interest in many areas of sensory, perceptual and cognitive processes. We invite authors to submit contributions to a thematic issue on microsaccades, to be published in the Journal of Eye Movement Research. Both reviews and original research, including measurement and data analyses in fundamental, translational, and applied research, are welcome. Please see the submission instructions at https://bop.unibe.ch/index.php/JEMR/about/submissions#authorGuidelines Abstract submission deadline: June 30, 2018; Manuscript submission deadline: November 15, 2018. The Journal of Eye Movement Research will publish each individual article in Issue 6 of Volume 11 (2018) on a rolling basis. The content alert will be distributed after completion of the full issue. Guest editors: Susana Martinez-Conde Ralf Engbert Editor in Chief, Journal of Eye Movement Research: Rudolf Groner ------------------- On behalf of: Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York, Downstate Medical Center Email: smart at neuralcorrelate.com Ralf Engbert, Prof. Dr. rer. nat., Professor of Experimental and Biological Psychology University of Potsdam Email: Ralf.Engbert at uni-potsdam.de Rudolf Groner, PhD Professor emeritus University of Bern, Switzerland Email: Rudolf Groner ________________________________________________________________________ Journal of Eye Movement Research https://jemr.org From smart at neuralcorrelate.com Sat Jun 16 04:59:58 2018 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Sat, 16 Jun 2018 04:59:58 -0400 Subject: Connectionists: FINAL Call for Illusion Submissions: 14th Best Illusion of the Year Contest In-Reply-To: <035401d4054f$1640ae80$42c20b80$@neuralcorrelate.com> References: <035401d4054f$1640ae80$42c20b80$@neuralcorrelate.com> Message-ID: <038b01d40550$6add5640$409802c0$@neuralcorrelate.com> ****FINAL CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 14TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST**** http://illusionoftheyear.com We are happy to announce the 14th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished, or published no earlier than 2017) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2018 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until June 25, 2018. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Sat Jun 16 06:13:23 2018 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sat, 16 Jun 2018 12:13:23 +0200 Subject: Connectionists: CIBB2018: submission deadline approaching!!! Message-ID: *Submission deadline June 24, 2018* CIBB 2018 : 15th Computational Intelligence methods for Bioinformatics and Biostatistics Caparica, Portugal, September 6-8, 2018 http://eventos.fct.unl.pt/cibb2018/ The main goal of the CIBB international conference is to provide a multi-disciplinary forum for researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also of particular interest are current trends and future opportunities at the edge of computer and life sciences, together with the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine. Theoretical and experimental biologists are invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2018 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From yang at maebashi-it.org Sat Jun 16 11:57:34 2018 From: yang at maebashi-it.org (Yang) Date: Sun, 17 Jun 2018 00:57:34 +0900 Subject: Connectionists: [Deadline Extended] Call for Papers - Brain Informatics 2018 Message-ID: <4E1032528C894A64B08908A5F33BB1B9@yangPC> [Apologies if you receive this more than once] Deadline Extended -- CALL FOR PAPERS The 11th International Conference on Brain Informatics (BI'18) December 7-9, 2018, Arlington, Texas, USA Homepage: http://uta.engineering/conferences/bi-2018/ ---Advancing BI Technologies from Basic Science Research to Real-World Practice--- ============================================== July 26, 2018: Papers submission deadline (Extended) ============================================== The International Conference on Brain Informatics series (BI) has established itself as the world's premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The BI'18 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. The BI'18 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be peer-reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI (http://www.springer.com/us/book/9783319707716). Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing IMPORTANT DATES: ================ July 26, 2018: Papers submission deadline (Extended) August 30, 2018: Notification of paper acceptance August 1, 2018: Abstract Submission deadline August 30, 2018: Notification of abstract acceptance December 7, 2018: Workshops & Special Sessions December 8-9, 2018: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publications *** The Brain Informatics conferences have the formal ties with the Open Access Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted full papers will be selected to publish in the Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Tom Mitchell (Carnegie Mellon University, USA) Leon Iasemidis (Louisiana Tech, University, USA) Ning Zhong (Maebashi Institute of Technology, Japan) Program Committee Chairs Jianzhong Su (University of Texas at Arlington, USA) Vicky Yamamoto (University of South California, USA) Yu-Ping Wang (Tulane University, USA) Organizing Chairs Shouyi Wang (University of Texas at Arlington, USA) Erick Jones (University of Texas at Arlington, USA) Fenghua Tian (University of Texas at Arlington, USA) Workshop/Special-Session Chairs Chou, Chun-An (Northwestern University, USA) Xiangnan Kong (Worcester Polytechnic Institute, USA) Felicia Jefferson (Fort Valley State University, USA) Jing Qin (Montana State University, USA) Panel/Tutorial Chairs Yang Yang (Maebashi Institute of Technology, Japan/Beijing Advanced Innovation Center for Future Internet Technology, China) Vassiliy Tsytsarev (University of Maryland, USA) Publicity Chairs Paul Wen (University of Southern Queensland, Australia) Huiguang He (Chinese Academy of Sciences, China) Mufti Mahmud (University of Padova, Italy) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Shouyi Wang Email: shouyiw at uta.edu Vicky Yamamoto Email: Vicky.Yamamoto at med.usc.edu Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc2018 at gmail.com Sat Jun 16 11:19:46 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Sat, 16 Jun 2018 17:19:46 +0200 Subject: Connectionists: ISWC 2018 - Conference Registration is Open Message-ID: 17th International Semantic Web Conference (ISWC 2018) Conference Dates: October 8-12, 2018 Location: Asilomar Conference Grounds, Monterey, CA, USA Registration: The Registration for ISWC 2018 is open. Register with Early ISWC registration prices by June 29 at http://iswc2018.semanticweb.org/registration/ Accommodation: Book accommodation at the Asilomar Conference Grounds with ISWC 2018 pricing through http://iswc2018.semanticweb.org/accommodation/. While there are other lodging options within walking distance, they would not provide a remotely similar experience or convenience compared to staying within the Asilomar State Park and Conference Grounds. When staying at Asilomar, guests are provided with breakfast and dinner, which is especially convenient since there are very limited dining options in the area around Asilomar. Travel (summary): The most convenient way to attend ISWC 2018 (short of flying directly to Monterey) is to fly into San Francisco International airport (SFO) or San Jose International airport (SJC), and then taking the Monterey Airbus ( https://www.montereyairbus.com), which picks up passengers at either SFO or SJC, and can drop off passengers right at the Asilomar Conference Grounds or other hotels in the Monterey area. Invited Speakers: - Jennifer Golbeck, University of Maryland - Vanessa Evers, University of Twente - Natasha Noy, Google Organization: General chair: Elena Simperl, University of Southampton Local chair: Rafael Gon?alves, Stanford University Full committee: http://iswc2018.semanticweb.org/organization/ Contact: Website: http://iswc2018.semanticweb.org/ Local enquiries: rafael.goncalves at stanford.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sat Jun 16 16:15:24 2018 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sat, 16 Jun 2018 21:15:24 +0100 Subject: Connectionists: CFP: 3rd ECML/PKDD 2018 Workshop on IoT Large Scale Machine Learning from Data Streams Message-ID: <024f1f0b-9363-77bd-bda4-4544272ca332@isep.ipp.pt> Call for Papers on IoT Large Scale Machine Learning from Data Streams https://abifet.wixsite.com/iotstreaming2018 3rd ECML/PKDD 2018 Workshop on IoT Large Scale Machine Learning from Data Streams The volume of data is rapidly increasing due to the development of the technology of information and communication. This data comes mostly in the form of streams. Learning from this ever-growing amount of data requires flexible learning models that self-adapt over time. In addition, these models must take into account many constraints: (pseudo) real-time processing, high-velocity, and dynamic multi-form change such as concept drift and novelty. This workshop welcomes novel research about learning from data streams in evolving environments. It will provide the researchers and participants with a forum for exchanging ideas, presenting recent advances and discussing challenges related to data streams processing. It solicits original work, already completed or in progress. Position papers are also considered. This workshop is combined with a tutorial treating the same topic and will be presented in the same day. Motivation and focus The volume of data is rapidly increasing due to the development of the technology of information and communication. This data comes mostly in the form of streams. Learning from this ever-growing amount of data requires flexible learning models that self-adapt over time. In addition, these models must take into account many constraints: (pseudo) real-time processing, high-velocity, and dynamic multi-form change such as concept drift and novelty. Consequently, learning from streams of evolving and unbounded data requires developing new algorithms and methods able to learn under the following constraints: -) random access to observations is not feasible or it has high costs, -) memory is small with respect to the size of data, -) data distribution or phenomena generating the data may evolve over time, which is known as concept drift and -) the number of classes may evolve overtime. Therefore, efficient data streams processing requires particular drivers and learning techniques: Incremental learning in order to integrate the information carried by each new arriving data; Decremental learning in order to forget or unlearn the data samples which are no more useful; Novelty detection in order to learn new concepts. It is worthwhile to emphasize that streams are often generated by distributed sources, especially with the advent of Internet of Things and therefore processing them centrally may not be efficient especially if the infrastructure is large and complex. Scalable and decentralized learning algorithms are potentially more suitable and efficient. Aim and scope This workshop welcomes novel research about learning from data streams in evolving environments. It will provide the researchers and participants with a forum for exchanging ideas, presenting recent advances and discussing challenges related to data streams processing. It solicits original work, already completed or in progress. Position papers are also considered. The scope of the workshop covers the following, but not limited to: Online and incremental learning Online classification, clustering and regression Online dimension reduction Data drift and shift handling Online active and semi-supervised learning Online transfer learning Adaptive data pre-processing and knowledge discovery Applications in Monitoring Quality control Fault detection, isolation and prognosis, Internet analytics Decision Support Systems, etc. Submission and Review process Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are maximum 6 pages. Papers must be written in English and are to be submitted in PDF format online via the Easychair submission interface:https://easychair.org/conferences/?conf=iotstreaming2018 Each submission will be evaluated on the basis of relevance, significance of contribution, quality of presentation and technical quality by at least two members of the program committee. All accepted papers will be included in the workshop proceedings and will be publically available on the conference web site. At least one author of each accepted paper is required to attend the workshop to present. Important dates Paper submission deadline: Monday, July 16th, 2018 Paper acceptance notification: Friday, July 27th, 2018 Paper camera-ready submission: Monday, August 6th, 2018 Best regards, Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From asaxe at fas.harvard.edu Sun Jun 17 07:11:45 2018 From: asaxe at fas.harvard.edu (Andrew Saxe) Date: Sun, 17 Jun 2018 12:11:45 +0100 Subject: Connectionists: 4-year PhD studentship in Neuroscience and Machine Learning at the University of Oxford Message-ID: Applications are invited for a 4-year PhD studentship in Neuroscience and Machine Learning at the University of Oxford. The successful candidate will join the Oxford Interdisciplinary Bioscience DTP and will work with Andrew Saxe , Tim Behrens and Christopher Summerfield on understanding the computational mechanisms of learning in biological systems and artificial agents, and will be primarily based in the Department of Experimental Psychology . The successful candidate will have the opportunity to collaborate with an industry partner. Applicants should have strong quantiative skills and a background in computer science, computational neuroscience, statistics, or a related discipline. Applicants with a joint interest in both machine learning/AI research and computational neurobiology are particularly encouraged to apply. In the first instance please contact Dr Andrew Saxe (asaxe at fas.harvard.edu) to discuss your suitability for the project. The application deadline is Friday 13th July 2018 (see http://www.biodtp.ox.ac.uk/how-apply/bbsrc-artificial-intelligence-npif-studentships-2018.html for details). This project is funded for four years by the Biotechnology and Biological Sciences Research Council BBSRC and as such is only available to UK and EU candidates. Successful students will receive a stipend of no less than the standard RCUK stipend rate, currently set at ?14,777 per year. -------------- next part -------------- An HTML attachment was scrubbed... URL: From adeel.razi at gmail.com Sun Jun 17 23:23:20 2018 From: adeel.razi at gmail.com (Adeel Razi) Date: Mon, 18 Jun 2018 13:23:20 +1000 Subject: Connectionists: PhD position(s) in Computational Neuroscince Message-ID: Dear Connectionists, *Announcing opportunities for PhD positions* (See the attached flyer!) Our lab develops computational neuroimaging methods using tools from signal processing, machine learning, and dynamical systems. The Lab is highly interdisciplinary so we welcome applications from students with quantitative background in Engineering, Computer Science or Physics and also students with background in Psychology, Neuroscience or Medicine. ? There is one PhD stipend available immediately (at 2018 rate of AUD 27,353 per annum) for the duration of 3 years. The project is funded by the ARC DECRA Fellowship awarded to Dr Adeel Razi. Suitable for domestic students as only PhD stipend is covered. ? Expressions of interest are sought for PhD scholarships, both domestic (PhD stipend) and international students (Tuition fee + PhD stipend). See the *link* ? For outstanding students additional top-up scholarships are available (AUD 10,000 - 15,000 per annum). The successful applicant(s) will work under the mentorship of Dr Adeel Razi (primary advisor) and will also have an opportunity to spend time in lab(s) of our close international collaborators (e.g. Professor Karl Frsiton, Wellcome Centre for Human Neuroimaging, University College London). There is generous funding available to attend/present at international and local conferences every year. Expressions of interest via email to adeel(dot)razi(at)monash(dot)edu) should include: ? a curriculum vitae including academic transcript(s) and any published works; and ? names and contact details of 2 academic referees -------------------------------------------------------- Adeel Razi, PhD Principal Investigator, Computational and Systems Neuroscience Laboratory Monash Institute of Cognitive & Clinical Neuroscience Monash Biomedical Imaging Monash University, Australia E: adeel.razi at monash.edu W: www.adeelrazi.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Razi_PhD Scholarships Flyer_416257_1-2ja_FOR WEB AND EMAIL.pdf Type: application/pdf Size: 106064 bytes Desc: not available URL: From kwimmer at crm.cat Mon Jun 18 14:16:37 2018 From: kwimmer at crm.cat (Klaus Wimmer) Date: Mon, 18 Jun 2018 20:16:37 +0200 Subject: Connectionists: Postdoc position in Computational Neuroscience - CRM Barcelona Message-ID: A fully funded POSTDOC POSITION in computational neuroscience is available in the lab of Klaus Wimmer, Computational Neuroscience Group at the CRM, Barcelona, Spain. *Profile* We are looking for an enthusiastic and scientifically curious researcher with a strong interest in computational neuroscience. The perfect candidate has a strong mathematical, physical or engineering background, scientific programming skills (Matlab, Python), and a keen interest in biological neural systems. Knowledge in computational neuroscience, dynamical systems, machine learning or advanced statistics is a plus. Good team spirit is a must. *Research topic* The neural basis of decision making and working memory has been studied extensively, yet our understanding of how distributed circuits in the brain perform these cognitive functions is only at the beginning. Models of cortical circuits can shed light on the underlying neural network dynamics. The Postdoc will work on building such models and on cutting-edge analysis of large-scale neural activity recordings (neuronal population recordings, fMRI, EEG). *The lab* The Computational Neuroscience Group is based at the Centre de Recerca Matem?tica at the campus of the Universitat Aut?noma de Barcelona. It is a joint effort of Alex Roxin and Klaus Wimmer, and forms part of a larger network of theoretical and systems neuroscience labs in Barcelona. The successful candidate will benefit from a vibrant and stimulating research community and will have the opportunity of enjoying a lively city. More information can be found at: https://sites.google.com/view/wimmerlab *How to apply* Interested candidates should e-mail their application as a single pdf file to Klaus Wimmer, kwimmer at crm.cat, with the subject ?Postdoc 2018?. The application should include: (1) CV with publication list, (2) a brief description of research experience and interests, (3) contact information for two references. The position is available immediately and applications will be accepted until it is filled. Informal inquiries are welcome. -- Klaus Wimmer Ram?n y Cajal researcher at Centre de Recerca Matem?tica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain Tel. +34 935 86 85 15 https://sites.google.com/view/wimmerlab -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Jun 19 09:59:00 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 19 Jun 2018 16:59:00 +0300 Subject: Connectionists: The 34th ACM Symposium on Applied Computing (SAC 2019): First Combined Call for Papers Message-ID: <23412F61-4838-4C21-A71B-53CB95B0555B@cs.ucy.ac.cy> *** FIRST COMBINED CALL FOR PAPERS *** The 34th ACM Symposium on Applied Computing (SAC 2019) St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019 https://www.sigapp.org/sac/sac2019 For the past thirty-three years the ACM Symposium on Applied Computing (SAC) has been a primary and international forum for applied computer scientists, computer engineers and application developers to gather, interact and present their work. The ACM Special Interest Group on Applied Computing (SIGAPP) is the sole sponsor of SAC. The conference proceedings are published by ACM and are also available online through ACM's Digital Library. The 34th Annual SAC meeting will be held in April 2019 in Limassol, Cyprus, and is hosted by the University of Cyprus. The conference features the following tracks: ? Intelligent Robotics and Multi-Agent Systems (IRMAS) ? Knowledge Representation and Reasoning (KRR) ? Information Access and Retrieval (IAR) ? Software Verification and Testing (SVT) ? Computational Intelligence and Video & Image Analysis (CIVIA) ? Social Network and Media Analysis (SONAMA) ? Selected Areas of Wireless Communications and Networking (WCN) ? Recommender Systems: Theory and Applications (RS) ? Computer Security (SEC) ? Web-based Technologies for Interactive Computing Education ? Data Mining (DM) ? Usability Engineering (UE) ? Cloud Computing (CC) ? Privacy by Design in Practice (PDP) ? Advances in COMputational Biomedical Imaging (COMBI) ? Operating Systems (OS) ? Software Platforms (SP) ? Decentralized Applications (DAPP) with Blockchain, DLT and Crypto-Currencies ? Databases and Big Data Management (DBDM) ? Requirements Engineering (RE) ? Cyber-Physical Systems (CPS) ? Software Architecture: Theory, Technology, and Applications (SA-TTA) ? Internet of Things (IoT) ? Sustainability of Fog/Edge Computing Systems (SFECS) ? Software-intensive Systems-of-Systems (SiSoS) ? Data Streams (DS) ? Programming Languages (PL) ? Business Process Management & Enterprise Architecture (BPMEA) ? Microservices, DevOps, and Service-Oriented Architecture (MiDOS) ? Health Informatics for Patient Centric Outcome Driven Healthcare ? Dependable, Adaptive, and Secure Distributed Systems (DADS) ? GeoInformation Analytics (GIA) ? Knowledge and Language Processing ? KomIS: Knowledge Discovery meets Information Systems ? Next Generation Programming Paradigms and Systems (NGPS) ? Communication, Computing and Networking in Internet of Vehicles (CCNIV) ? Bioinformatics (BIO) ? Embedded Systems (EMBS) ? Digital Life for Human Well-being (DLHWB) ? Networking (NET) ? Semantic Web and Applications (SWA) ? Mobile Computing and Applications (MCA) ? Software Engineering (SE) ? Variability and Software Product Line Engineering (VSPLE) ? Smart Human Computer Interaction (HCI) ? Web Technologies (WT) ? Machine Learning and its Applications More information about the topics covered by each track and submission instructions are available on the conference web site and the web sites of the tracks themselves (accessible from the conference web site). Important Dates ? Sept 10, 2018: Submission of papers ? Nov 10, 2018: Author notification ? Nov 25, 2018: Camera-ready copies ? Dec 10, 2018: Author registration Committees https://www.sigapp.org/sac/sac2019/organization.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Mon Jun 18 13:13:43 2018 From: tarek.besold at googlemail.com (tarek.besold at googlemail.com) Date: Mon, 18 Jun 2018 18:13:43 +0100 Subject: Connectionists: Alpha (Barcelona) -- Heads-up to prospective AI Topic Leaders & Research Engineers Message-ID: <004601d40727$b5f5f0a0$21e1d1e0$@gmail.com> Alpha, Europe's first Moonshot innovation company - operating out of beautiful Barcelona and working with a network of collaborating institutions all around the globe - are searching for founding staff for the new Alpha Health AI Lab: * AI Topic Leaders (Empathic AI/Anonymous & Distributed ML/Trustworthy AI): https://jobs.lever.co/alpha/55f2a20e-e262-43bb-9f5e-bcb33c1d51cf * AI Research Engineers (Full-Stack, ML): https://jobs.lever.co/alpha/4c8e4883-53f8-4da7-a82c-cd4868644065 If you want to know more, follow the link(s). If you want to apply, do the same - and please include the tag "[Connectionists]" as identifier in your contact message, remembering the old proverb: "Tell me which are your mailing lists.". ;) --- Tarek R. Besold, PhD WWW: http://www.cat-ai.org Twitter: @jeublanc LinkedIn: http://www.linkedin.com/in/tarekbesold/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From eliricci at fbk.eu Mon Jun 18 14:58:34 2018 From: eliricci at fbk.eu (Elisa Ricci) Date: Mon, 18 Jun 2018 20:58:34 +0200 Subject: Connectionists: ECCV Workshop on Human Behavior Understanding (HBU): Generating Visual Data of Human Behavior Message-ID: Workshop on Human Behavior Understanding (HBU) In conjunction with European Conference on Computer Vision (ECCV) 2018 9 September 2018, Munich, Germany Focus Theme: Generating Visual Data of Human Behavior http://xavirema.eu/HBUGEN2018 ****************************** CALL FOR PAPERS The fast and broad progresses in AI has not only enabled great advances in the analysis of human behavior but has also opened new possibilities for generating realistic human-like behavioral data. Notable examples relate to the synthesis of realistic-looking images of people, to the generation of human-sounding speech as well as to the design of robots that are more and more accurate in reading and mimicking human emotions. The workshop will focus on recent advances and novel methodologies for generating data containing human-like behavior. The HBU Workshops, previously organized as satellite to ICPR'10, AMI'11, IROS'12, ACM Multimedia'13, ECCV'14, UBICOMP'15, ACM Multimedia'16, and FG'18 Conferences, have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The 9th HBU workshop, in addition to covering the main themes of human behavior understanding, specifically deals with generating visual data of human behavior. More precisely we seek for contributions describing new methodologies allowing to generate either still images or videos containing face(s) and/or full body(ies) or modifying attributes of faces (e.g. expression) and/or bodies (e.g. human pose). Contributions based on deep neural architectures are welcome, as well as methods based on parametric models. TOPICS include but are not limited to: GENERATING VISUAL DATA OF HUMAN BEHAVIOR Generation of faces and modification of their attributes (e.g. age, expression) Generation of human bodies for behavior analysis Synthesis of visual data representing individual and collective human activities Deep generative models for image/video generation of human behavior Parametric models for the synthesis of faces/bodies Generation of multi-modal (vision and beyond) human behavioral data Exploration of text-based descriptions linked with visual representation generation Applications (e.g. surveillance, autonomous driving, fashion, robotics) HUMAN BEHAVIOR ANALYSIS SYSTEMS Action and activity recognition Affect analysis Face analysis Gaze, attention and saliency Gestures and haptic interaction Learning and adaptation Social signal processing Voice and speech analysis THEORY AND METHODOLOGY OF HUMAN BEHAVIOR Theoretical frameworks of behavior analysis Data collection, annotation, and benchmarking Interaction design Theoretical frameworks of behavior analysis User studies and human factors Papers must be submitted online through the CMT submission system at: https://cmt3.research.microsoft.com/HBUGEN2018/ and will be double-blind peer reviewed by at least two reviewers. Submissions should conform to the ECCV 2018 proceedings style. We expect two kind of submissions: - Full submissions: 14 pages (ECCV format) NOT including references - Extended abstracts: 6 pages (ECCV format) NOT including references. More info at: http://xavirema.eu/HBUGEN2018/index.html ****************************** IMPORTANT DATES Submission: *July 15th* Review period: July 16th to August 10th Author notification: August 16th Workshop: September 9th Camera ready: September 21st 2018 ****************************** INVITED SPEAKERS Michael Black, Max Planck Institute, DE Stefanos Zafeiriou, Imperial College London, UK ****************************** SPECIAL ISSUE The workshop is followed by an IJCV special issue with the same focus theme, and the workshop contributors will be invited to submit a suitably extended version of their papers to this issue. ****************************** ORGANIZERS: Xavier Alameda-Pineda, Inria, FR. Elisa Ricci, FBK & University of Trento, IT. Albert Ali Salah, Bo?azi?i University, TR & Nagoya University, JP. Nicu Sebe, University of Trento, IT. Shuicheng Yan, National University of Singapore, SG. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lciti at essex.ac.uk Mon Jun 18 18:23:49 2018 From: lciti at essex.ac.uk (Luca Citi) Date: Mon, 18 Jun 2018 23:23:49 +0100 Subject: Connectionists: JOB: Post-doc in Neural Engineering (Brain-Computer Interfacing, EEG analysis) Message-ID: <6efffad3-a74f-166c-e63f-9e39981ce49f@essex.ac.uk> Postdoctoral Research Associate in Neural Engineering University of Essex - School of Computer Science and Electronic Engineering The Essex Brain-Computer Interfaces and Neural Engineering laboratory is happy to announce a postdoctoral position in the MURI project "Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision Accuracy" (more information at: https://sites.usc.edu/muri-project/ ). The project is a very exciting one and we have teamed up with outstanding partners from USC, Harvard, UCL, Berkeley, Imperial, among others. The Essex team's work on the project focuses on brain-computer interfacing, on algorithms for signal processing and extraction of information from EEG and other physiological signals, on behavioural and neuro-physiological investigations of multisensory feature binding and integration, as well as methods for predicting the level of attention and confidence in decision making of a participant from behavioural, physiological and neural data in real time. The duties of the role include conducting research, development and dissemination of neural engineering techniques within the MURI project. Applicants are expected to hold a PhD (or be very close to submitting their PhD thesis) in Biomedical Engineering, Brain-computer Interfaces, Neural Engineering, Electronic Engineering, Statistics, Physics, Computer Science or a closely related discipline. The ideal candidate will have significant experience in signal processing, statistical modelling of neural signals and processes. Applicants are also expected to have a strong publication record (relative to their career stage) as first author, ideally including publications in 1st quartile journals in relevant areas. The successful applicant will join the Essex team - formed by Dr Luca Citi (PI), Prof Riccardo Poli (Co-I and UK team leader), Dr Caterina Cinel (named Research Fellow) - and will be part of the Essex BCI-NE Lab, today the UK's largest research group in brain-computer interfaces. This post is initially fixed-term until the 31st of October 2019 but may be extended for two more years if further funding is approved. Appointment will be made as Senior Research Officer. Closes: *30th June 2018* Job Ref: ??? REQ01468 Salary: ? ?? ?32,548 - ?34,521 per annum Further information and application instructions: https://www.jobs.ac.uk/job/BKF396 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Philipp.Stratmann at dlr.de Tue Jun 19 07:21:06 2018 From: Philipp.Stratmann at dlr.de (Philipp.Stratmann at dlr.de) Date: Tue, 19 Jun 2018 11:21:06 +0000 Subject: Connectionists: PhD Position in Computational Neuroscience / Robotics at TU Munich Message-ID: <8597FE56D8ED6F4AA3228751DC76865912B5401A@DLDEFFMIMP04EXC.intra.dlr.de> We are seeking a PhD student with a background in computational neuroscience and/or robotics control theory. The position is supervised by Prof. Alin Albu-Sch?ffer in the Department of Informatics at the Technical University of Munich. You will work on the simulation and control theoretical analysis of neuronal networks for the control of biomimetic robotic systems. Results of the project will be integrated into the Human Brain Project, a ?1bn flagship project of the European Commission, as an interface that connects brain simulations with robotic platforms. While our group has a long track record in robotics, we started to extend our research in neuroscience a few years ago. You will thus be encouraged to shape this endeavor with your own ideas and overtake project responsibility. Requirements: * master?s degree in mathematics, computer science, physics, or similar * experience in computational neuroscience and/or robotics control theory * very good programming skills * fluent in written and spoken English * ability to work independently as well as in international teams Helpful skills: * Matlab and Python skills * experience in movement analysis and EMG measurements Start date: autumn 2018 Application Deadline: until position is filled You will work in an enriching, interdisciplinary, and international collaborative framework at the leading department of informatics in Germany (cf. the Shanghai and the QS ranking). Close links to the neuroscience community are guaranteed as the project is embedded within the Human Brain Project, but also by group collaborations e.g. with Lund University. The research will be carried out in particular close linkage to the Institute of Robotics and Mechatronics at the German Aerospace Center (DLR). Due to this linkage, we can offer a range of robotic systems for functional testing of simulated neuronal networks in biomimetic robots and for non-invasive testing of movement hypotheses on human subjects. A competitive funding is offered at 100% on the German employee scale TV-L 13. Further funding is available to cover participations at international conferences and workshops. If you are interested, please provide Philipp Stratmann (philipp.stratmann at tum.de) with a cover letter and a CV, including contact information of reference letter writers. Please don?t hesitate to contact us in case of questions. The Department of Informatics aims to increase its number of female researchers and therefore particularly welcomes applications from women. We also welcome applications from disabled persons. _______________________________________ Philipp Stratmann | Research Associate Philipp.Stratmann at tum.de | (+49) 8153 28-4215 German Aerospace Center (DLR) Institute of Robotics and Mechatronics | Muenchener Strasse 20 | 82234 Wessling | Germany Technical University of Munich Department of Informatics | Boltzmannstrasse 3 | 85748 Garching | Germany University of Oxford '14: MSc in Neuroscience RWTH Aachen University '13: BSc in Physics -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimiliano.pontil at gmail.com Mon Jun 18 16:49:24 2018 From: massimiliano.pontil at gmail.com (massimiliano.pontil at gmail.com) Date: Mon, 18 Jun 2018 22:49:24 +0200 Subject: Connectionists: One Postdoc Position in Machine Learning at Istituto Italiano di Tecnologia Message-ID: I am seeking one Postdoc to work in Machine Learning at Instituto Italiano di Tecnologia in Genoa. The position is available in all areas of machine learning with preference to statistical learning theory, high dimensional statistics, online learning, stochastic and numerical optimization. If you are at COLT or ICML, please email me to arrange a meeting in person. Information on how to apply: https://www.iit.it/careers/openings/opening/751-1-postdoctoral-position-in-machine-learning Deadline: July 31, 2018. Massimiliano Pontil Istituto Italiano di Tecnologia & University College London https://www.iit.it/research/lines/computational-statistics-and-machine-learning From a.gruning at surrey.ac.uk Mon Jun 18 08:49:45 2018 From: a.gruning at surrey.ac.uk (=?UTF-8?B?QW5kcsOpIEdyw7xuaW5n?=) Date: Mon, 18 Jun 2018 13:49:45 +0100 Subject: Connectionists: Neuroplasticity Workshop: From Bench to Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey near London In-Reply-To: References: Message-ID: <20180618134945.64c1c40a@xps> Dear Colleagues, registration is open. Full information at . Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018 CONFIRMED SPEAKERS Katharina Wilmes, Imperial College London, UK Matthew Larkum, Humboldt-Universit?t zu Berlin, Germany Cyril Hanus, INSERM U894, France Brendon Watson, University of Michigan, USA Keith Hengen, Washington University, USA Giorgos Kastellakis, IMBB-FORTH, Crete Friedemann Zenke, University of Oxford Connor Houghton, University of Bristol Liam McDaid, Ulster University David Lester, SpiNNaker, University of Manchester Tiina Manninen, Tampere University of Technology Mike Davies, Director Neuromorphic Computing Lab, Intel The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration. On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called ?third factors? (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of ?deep networks? in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability. The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations. -- Brief? Here's why: http://emailcharter.org Dr Andre Gruning Senior Lecturer (Associate Professor) Postgraduate Research Director Department of Computer Science University of Surrey, Guildford GU2 7XH United Kingdom From tarek.besold at googlemail.com Mon Jun 18 14:06:57 2018 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Mon, 18 Jun 2018 19:06:57 +0100 Subject: Connectionists: Neural-Symbolic Learning and Reasoning (NeSy) 2018: Late Breaking Paper Submission (Deadline: August 1, 2018) Message-ID: == Neural-Symbolic Learning and Reasoning (NeSy) 2018 @ HLAI 2018 == Executive Summary: - What: 13th Intl. Workshop on Neural-Symbolic Learning and Reasoning - When: August 23/24, 2018 - Where: Prague, CZ - Website: http://www.neural-symbolic.org/NeSy18/ - Collocated with: Human-Level AI 2018 (https://www.hlai-conf.org/) == LATE BREAKING PAPER SUBMISSION == The submission system for late breaking papers has come online at EasyChair: https://easychair.org/conferences/?conf=nesy18. Submissions are reviewed on a rolling basis until the final submission deadline. == Keynote Speakers == - Hava Siegelmann, DARPA & University of Massachusetts Amherst. - Paul Smolensky, Johns Hopkins University & Microsoft Research - Luciano Serafini, Fondazione Bruno Kessler. - Thomas Lukasiewicz, University of Oxford - Simo Dragicevic, CEO, BetBuddy Ltd. == The Event == Artificial Intelligence researchers continue to face huge challenges in their quest to develop truly intelligent systems. The recent developments in the field of neural-symbolic integration bring an opportunity to integrate well-founded symbolic artificial intelligence with robust neural computing machinery to help tackle some of these challenges. The Workshop on Neural-Symbolic Learning and Reasoning is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to neural-symbolic integration. Topics of interest include but are not limited to: - The representation of symbolic knowledge by connectionist systems; - Neural Learning theory; - Integration of logic and probabilities, e.g., in neural networks, but also more generally; - Structured learning and relational learning in neural networks; - Logical reasoning carried out by neural networks; - Integrated neural-symbolic approaches; - Extraction of symbolic knowledge from trained neural networks; - Integrated neural-symbolic reasoning; - Neural-symbolic cognitive models; - Biologically-inspired neural-symbolic integration; - Applications in robotics, simulation, fraud prevention, natural language processing, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc. == Presentation == Accepted full and late breaking papers will be presented during the workshop. The workshop will include extra time for discussion of the presentations allowing the group to have a better understanding of the issues, challenges, and ideas being presented. == Publication == Accepted full papers will be published in a post-workshop volume of the IfCoLog Journal of Applied Logic (JAL). For the inclusion of accepted late breaking papers, a second in-depth review will be required following the workshop. == Submission Format == Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere: Authors of contributed papers are encouraged to use the LaTex article style, a 12pt font, and to submit a paper with no more than 12 pages plus references. Please submit your article on EasyChair: https://easychair.org/conferences/?conf=nesy18. == Important Dates == Deadline for full paper submission (CLOSED): June 18, 2018 Notification of acceptance/rejection (full papers): July 5, 2018 Deadline for late breaking paper submission (OPEN): August 1, 2018 Notification of acceptance/rejection (late breaking papers): on continuous basis, latest by August 8, 2018 Workshop dates: August 23-24, 2018 == Additional Information == General questions concerning NeSy'19 should be addressed to Tarek R. Besold at Tarek-R.Besold at city.ac.uk. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvouloutsi at ibecbarcelona.eu Tue Jun 19 10:02:33 2018 From: vvouloutsi at ibecbarcelona.eu (Vasiliki Vouloutsi) Date: Tue, 19 Jun 2018 16:02:33 +0200 Subject: Connectionists: [jobs] Software developer at Barcelona, Spain Message-ID: <4198b258-7b71-a610-5b78-280cf4cb1e0d@ibecbarcelona.eu> Dear colleagues, Please find below some information regarding a new job opening at the laboratory of SPECS at the Institute of Bioengineering of Catalonia (IBEC). Thank you very much! ----------------------------------------------------------------------------------------- *Job description* SPECS (Synthetic Perceptive Emotive and Cognitive Systems) is seeking to hire a Software Developer to support the robotics team and contribute to the development of highly innovative research and applications combining robotics and neuroscience. *Qualifications* * Good knowledge in C++, C#, Python. * B.S., M.S., or PhD in computer science or a related field * Good communication skills in English *Extra knowledge (desired skills)* * Robot libraries and operative systems: ROS, YARP. * Computer vision, Classifiers (knowledge in OpenCV) * Sensor and actuators * Machine Learning, Artificial Intelligence *Additional Information* SPECS research group is part of IBEC (Bioengineering Institute of Catalonia), located in Barcelona, Spain (http://ibecbarcelona.eu/specs). It?s a multidisciplinary group that develops basic and applied research projects in the area of neuroscience. Our collaborators include the top universities from around the world, national research lab. *If you are interested, please send your CV to: info at specs-lab.com* -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS ) mail: vvouloutsi at ibecbarcelona.eu LinkedIn researchgate -------------- next part -------------- An HTML attachment was scrubbed... URL: From patirniche at biologie.uni-muenchen.de Tue Jun 19 03:38:21 2018 From: patirniche at biologie.uni-muenchen.de (Patirniche, Dinu) Date: Tue, 19 Jun 2018 09:38:21 +0200 Subject: Connectionists: An Electrodynamic Theory of Biology Message-ID: <5cfb53a40b068958893bffc3129768da@biologie.uni-muenchen.de> Dear Colleagues, What is a meter? If you say a unit length, you are correct. However, the meter is not just any unit of length, but one that is relevant for you as a human. Mature humans are around 1.70m high, and walk comfortably at 1m/s. But why do we use the meter at all, when it comes to expressing events and distances encountered in the brain? A commonly held biophysical dogma says that magnetic interactions occurring among neighboring compartments of biological tissues, such as for example the different neurons in a brain, can be ignored. The typical argument used to give credit to all biophysical theories rooted in electrostatic is related to the observation that the vast majority of all electrical events within living tissues propagate are incredibly low speeds. Thus, since action potentials (APs), that is, sharp fluctuations of the electric field, are seen to propagate at speeds between 1 and 100 m/s, any dynamic induction phenomena arising due to the presence of such an event is apriorily excluded. And indeed, with meter-long sensors there is hardly any significant electrodynamics signals to be recorded. However, acknowledging that the AP is playing a decisive role in the chemical transmission cycle, we could express the AP's speed in units that are relevant to this process. Since the dendritic spine is an integral part of the chemical transmission machinery, we could introduce a new unit of length and call it the "dendritic-spine-head" to mean 1 micro-meter, or 10^-6 m. Thus, referring to the spine as an observer of the AP, this event propagates at 1,000,000 "dendritic-spine-heads"/s. From the perspective of a spine, the production of such an event is anything but a stationary phenomenon, appearing necessary to consider what an electrodynamic theory might say about the interactions between an incoming electrical pulse and a fixed spine. In following this route, I came to the conclusion that all biological organisms can be easily decomposed into a finite set of disjoint, and electrically insulated volumes, that appear to function as a set of nested highly-exotic electromagnetic antennae. If this view can be maintained, understanding brains as room-temperature quantum computers, and life as a globally coherent state within some finite reach, is inevitable. I present this theory in a preprint entitled Dynamic Aspects of Finite Architectures (http://doi.org/10.13140/RG.2.2.20815.79527), and invite you to read, comment and share this manuscript. Best regards, Dinu Patirniche. From george at cs.ucy.ac.cy Mon Jun 18 03:15:30 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Mon, 18 Jun 2018 10:15:30 +0300 Subject: Connectionists: 21st International Conference on Discovery Science (DS 2018): Last Call for Papers (deadline extended) Message-ID: *** LAST CALL FOR PAPERS *** 21st International Conference on Discovery Science (DS 2018) St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018 http://www.cyprusconferences.org/ds2018 (*** In conjunction with ISMIS 2018 ***) (*** Submission Deadline Extended: 28th June, 2018 ***) WELCOME The 21st International Conference on Discovery Science (DS 2018) provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. DS 2018 will be co-located with ISMIS 2018, the 24th International Symposium on Methodologies for Intelligent Systems. The two conferences will be held in parallel, and will share their invited talks. TOPICS We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to: ? Knowledge discovery, machine learning and statistical methods ? Ubiquitous knowledge discovery ? Data streams, evolving data and models ? Change detection and model maintenance ? Active knowledge discovery ? Learning from text and web mining ? Information extraction from scientific literature ? Knowledge discovery from heterogeneous, unstructured and multimedia data ? Knowledge discovery in network and link data ? Knowledge discovery in social networks ? Data and knowledge visualization ? Spatial/temporal Data ? Mining graphs and structured data ? Planning to learn ? Knowledge transfer ? Computational creativity ? Human-machine interaction for knowledge discovery and management ? Biomedical knowledge discovery and analysis ? Machine learning for high-performance computing, grid and cloud computing ? Applications of the above techniques to natural or social sciences PAPER SUBMISSION Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2018 review process Authors can submit their papers electronically via our submission page through Easychair: https://easychair.org/conferences/?conf=ds20180 . PUBLICATION AND JOURNAL SPECIAL ISSUES The DS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Machine Learning journal (https://link.springer.com/journal/10994) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 28th June 2018 (*** extended ***) ? Notification of Acceptance/Rejection: 18th July 2018 ? Camera-Ready Versions of Accepted Papers: 28th July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE General Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Larisa Soldatova, Goldsmiths, University of London, UK ? Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitri.ognibene at gmail.com Tue Jun 19 10:33:31 2018 From: dimitri.ognibene at gmail.com (Dimitri Ognibene) Date: Tue, 19 Jun 2018 15:33:31 +0100 Subject: Connectionists: PhD Studentship: Being in the Other's Shoes - Social Cognition in Babies and Robots' Message-ID: <4FF53F6A-E0F8-4C91-8A74-8A98D5B31916@gmail.com> We are looking for the perfect interdisciplinary PhD candidate to find out how humans learn to observe others, how they learn that they are not alone. Are you curious about this? Apply! The Schools of Computer Science and Electronic Engineering and Psychology in the Faculty of Science and Health at the University of Essex has an interdisciplinary PhD studentship available focusing on the theme ?Being in the other?s shoes ? Social cognition in babies and robots?. This studentship commences from 14 January 2019, the successful applicant will receive a scholarship for three years (subject to satisfactory progression). The studentship includes: a fee waiver equal to the Home/EU fee (for 2018/19, ? ?4,410). International students will need to pay the balance of their fees. a stipend of ?14,777 in 2018-19 adjusted according to the directives of the Research Councils UK. In a highly interdisciplinary environment, the PhD student will investigate the role of embodiment in social cognitive development by formulating computational theories, testing them through experimental studies with infants, and closing the loop by re-enacting the experiments with state of the art robots available in the Essex robotics lab. The applicant will also have the opportunity to perform empirical studies and computational modelling on social intelligence to examine disorders of social cognition (lack of engagement, inability to adopt others perspective) and validate the architecture in end user environments (for example robotic companions in homes, hospitals etc.). The University?s centre for Brain Science accounts for one of the most comprehensive and equipped laboratories for Developmental Cognitive Neuroscience in the UK?s, which has been featured in media . The successful applicant will be part of The Centre for Computational Intelligence, supervised by Dr Mohan and Dr Ognibene and also part of The Centre for Brain Science (Psychology), supervised by Dr Filippetti and Dr Rigato. Address additional questions to: Dr Mohan, (CSEE) vishwanathan.mohan at essex.ac.uk (PI), Dr Ognibene (CSEE) dimitri.ognibene at essex.ac.uk , Dr Filippetti (PSYCH) m.filippetti at essex.ac.uk , Dr Rigato (PSYCH) srigato at essex.ac.uk . -- Dimitri Ognibene, PhD Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Mon Jun 18 11:30:09 2018 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Mon, 18 Jun 2018 15:30:09 +0000 Subject: Connectionists: Research Associate in Data Science - Dementia Message-ID: A new Research Associate post in Data Science is available at Ulster University, UK. The post will be available from 1st August 2018 to 31st January 2019. The successful applicant will join an existing interdisciplinary research team that consists of computer scientists, biomedical scientists and clinicians, and will focus on predictive analytics and modelling of dementia data. For more info, please see: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTczNDIyNyZ2dF90ZW1wbGF0ZT0xMTI2Jm93bmVyPTUwNDM3ODEmb3duZXJ0eXBlPWZhaXImYnJhbmRfaWQ9MCZwb3N0aW5nX2NvZGU9MzQ3 or contact me. The closing date for the application is 27th June 2018. Best, KongFatt Wong-Lin ----------- E-mail: k.wong-lin at ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From filippombianchi at gmail.com Wed Jun 20 04:08:02 2018 From: filippombianchi at gmail.com (filippo bianchi) Date: Wed, 20 Jun 2018 10:08:02 +0200 Subject: Connectionists: [Extended deadline] SI: Non-Iterative Approaches and Their Applications -- Cognitive Computation Message-ID: *Special Issue: Non-Iterative Approaches and Their Applications* -- *Cognitive Computation* (Springer) *Submission deadline extended to 1st August 2018* ----------------------------------------------------------------- Optimization, which plays a central role in learning, has received considerable attention from academics, researchers, and domain workers. Many optimization problems in machine learning can be tackled with non-iterative approaches, which can be presented in closed-form manner. Those methods are in general computationally faster than iterative solutions. Even though non-iterative methods have attracted much attention in recent years, there exists a performance gap when compared with older methods and other competing paradigms. This special session aims to bridge this gap. The first target of this special issue is to present the recent advances of non-iterative solutions in learning. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on non-iterative algorithms, it is also expected that this special session will cover some practical applications, present some new ideas and identify directions for future studies. Researchers will be invited to submit innovative works or comparative studies with both iterative and non-iterative methods. Typical paradigms include (but not limited to) random vector functional link (RVFL), echo state networks (ESN), extreme learning machines (ELM), kernel ridge regression (KRR), random forests (RF) and so on. *Topics covered:* - Methods with and without randomization - Regression, classification and time series analysis - Dimensionality reduction - Spectral methods - Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. - Feedforward, recurrent, multilayer, deep and other structures. - Ensemble learning - Moore-Penrose pseudo inverse, SVD and other solution procedures. - Non-iterative methods for large-scale problems with and without kernels - Theoretical analysis of non-iterative methods - Comparative studies with competing iterative methods - Applications of non-iterative solutions in domains such as power systems, biomedical, finance, signal processing, big data and all other areas *Journal description* Cognitive Computation, Springer (https://link.springer.com/journal/12559) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles focusing on original basic and applied work involving bio-inspired computational accounts of all aspects of natural and artificial cognitive systems. Cognitive Computation has an Impact Factor of 3.44. *Important Dates* - Submissions Deadline 1st July 2018 *1st August 2018* - First notification of acceptance 1st Nov 2018 - Submission of revised papers 1st Jan 2019 - Final notification to the authors 1st Mar 2019 - Submission of final/camera-ready papers 1st April 2019 - Publication of special issue 2019 *Paper Submission* All papers should follow the manuscript preparation requirements for the Springer Cognitive Computation submissions (see http://www.springer.com/12559). The authors are requested to submit their manuscripts via the online submission manuscript system, available at http://www.editorialmanager.com/cogn/. During the first step of the submission, authors should select as Article Type ?*S.I. Non-Iterative Approaches and Their Applications*?. For further (technical) questions, please contact the Editor-in-Chief: ahu at cs.stir.ac.uk. *Organizers to contact* - Dr P. N. Suganthan, Nanyang Technological University, Singapore. epnsugan at ntu.edu.sg - Dr. Filippo Maria Bianchi, UiT the Arctic University of Norway, Troms?, filippo.m.bianchi at uit.no ------------------------------------------------------------------------------------------ Filippo Maria Bianchi, PhD. *Postdoctoral fellow at Machine Learning group,Department of Physics and Technology,UiT The Arctic University of Norway.Homepage: https://sites.google.com/view/filippombianchi/home * -------------- next part -------------- An HTML attachment was scrubbed... URL: From visigrapp at insticc.info Wed Jun 20 06:47:17 2018 From: visigrapp at insticc.info (visigrapp at insticc.info) Date: 20 Jun 2018 11:47:17 +0100 Subject: Connectionists: CFP VISAPP 2019 - 14th Int.l Conf. on Computer Vision Theory and Applications (Prague/Czech Republic) Message-ID: <20180620104719.1.834F17B255E91658@insticc.info> SUBMISSION DEADLINE 14th International Conference on Computer Vision Theory and Applications Submission Deadline: October 1, 2018 http://www.visapp.visigrapp.org/ February 25 - 27, 2019 Prague, Czech Republic. VISAPP is organized in 5 major tracks: - Image Formation and Preprocessing - Image and Video Analysis - Image and Video Understanding - Applications and Services - Motion, Tracking and Stereo Vision In Cooperation with: EUROGRAPHICS and AFIG.
Proceedings will be submitted for indexation by: DBLP, DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Daniel McDuff, Microsoft, United States Diego Gutierrez, Universidad de Zaragoza, Spain Jiri Matas, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic Dima Damen, University of Bristol, United Kingdom A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, VISAPP Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 100 033 Fax: +351 265 520 186 Web: http://www.visapp.visigrapp.org/ e-mail: visapp.secretariat at insticc.org From icaart at insticc.info Wed Jun 20 06:46:58 2018 From: icaart at insticc.info (icaart at insticc.info) Date: 20 Jun 2018 11:46:58 +0100 Subject: Connectionists: CFP ICAART 2019 - 11th Int.l Conf. on Agents and Artificial Intelligence (Prague/Czech Republic) Message-ID: <20180620104700.1.E2DF6552CD3F24F4@insticc.info> SUBMISSION DEADLINE 11th International Conference on Agents and Artificial Intelligence Submission Deadline: October 1, 2018 http://www.icaart.org/ February 19 - 21, 2019 Prague, Czech Republic. ICAART is organized in 2 major tracks: - Agents - Artificial Intelligence In Cooperation with: EUROGRAPHICS and AFIG.
Proceedings will be submitted for indexation by: DBLP, DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Penousal Machado, University of Coimbra, Portugal Carla P. Gomes, Cornell University, United States Michal Pechoucek, Czech Technical University in Prague, Czech Republic Lambert Schomaker, University of Groningen, Netherlands A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICAART Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 185 Fax: +351 265 520 186 Web: http://www.icaart.org/ e-mail: icaart.secretariat at insticc.org From biostec at insticc.info Wed Jun 20 06:46:42 2018 From: biostec at insticc.info (biostec at insticc.info) Date: 20 Jun 2018 11:46:42 +0100 Subject: Connectionists: CFP BIOSTEC 2019 - 12th Int.l Joint Conf. on Biomedical Engineering Systems and Technologies (Prague/Czech Republic) Message-ID: <20180620104644.1.F441BAD8AD773A64@insticc.info> SUBMISSION DEADLINE 12th International Joint Conference on Biomedical Engineering Systems and Technologies Submission Deadline: October 1, 2018 http://www.biostec.org/ February 22 - 24, 2019 Prague, Czech Republic. In Cooperation with: EUROGRAPHICS and AFIG.
Proceedings will be submitted for indexation by: DBLP, DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Hossam Haick, Israel Institute of Technology, Israel Andres Diaz Lantada, Universidad Politecnica de Madrid, Spain Henrique Martins, Universidade da Beira Interior, Portugal A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, BIOSTEC Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 185 Fax: +351 265 520 186 Web: http://www.biostec.org/ e-mail: biostec.secretariat at insticc.org From doya at oist.jp Wed Jun 20 07:54:35 2018 From: doya at oist.jp (Kenji Doya) Date: Wed, 20 Jun 2018 20:54:35 +0900 Subject: Connectionists: Call for Papers: JNNS2018 Message-ID: <3C1A8611-0680-4ABF-BCAC-6D519B762F11@oist.jp> Annual Conference of the Japanese Neural Network Society (JNNS2018) October 24-27, 2018 Okinawa Institute of Science and Technology, Okinawa, Japan Web site: http://www.jnns.org/conference/2018 The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018) will be held from October 24th to 27th at Okinawa Institute of Science and Technology (OIST). JNNS2018 aims to provide a forum for scientists, engineers, educators, and students to discuss the latest progress and future challenges in the field of neural information processing. All presentations will be in English. Keynote Speakers: ? Prof. Shun-ichi Amari (RIKEN) ? Prof. Tomaso Poggio (MIT) Tutorials: ? Introduction to Deep Learning: Yutaka Matsuo Lab (U. Tokyo) ? Applications of Deep Learning to Neuroscience: Yukiyaku Kamitani (Kyoto U.) ? Recurrent Neural Networks and Robotics: Tetsuya Ogata (Waseda U.) Symposia: ? Whole-Brain Architecture: Hiroshi Yamakawa (DWANGO) ? Learning in Spiking Neural Networks: Taro Toyoizumi (RIKEN) ? Symbol Emergence in Robotics: Tadahiro Taniguchi (Ritsumeikan U.) Call for Papers: JNNS2018 invites submissions of papers on substantial and original research in all aspects of neural information processing. We welcome contributions from diverse fields including neurobiology, psychology, mathematical modeling and analysis, machine learning, and information technology. The presenting author should be a member of JNNS or supporting societies except presenters from overseas. An author can present only one paper but can be a non-presenting co-author of other papers. Papers should be written in English and is limited to two pages in A4 format using the LaTeX or Word template provided on the web site. Papers should be submitted through the on-line submission system accessible from the web site. The deadline is noon UTC (9 pm JST) of June 30, 2018. All submitted papers will go through reviewing for acceptance and selection for oral presentation. The result will be notified by August 24th. The presenting authors of accepted papers are asked to register for attendance through the web site by August 31, 2018; otherwise, the acceptance will be cancelled. Accepted papers will be available online prior to the conference. Presentation Format: All general presentations will be given in poster sessions. Selected papers will be presented in single-track oral sessions as well. Important Dates: Paper submission deadline: June 30, 2018 Notification of acceptance: August 24, 2018 Early registration deadline: August 31, 2018 Sponsor: Japanese Neural Network Society Co-Sponsor: Okinawa Institute of Science and Technology KAKENHI Innovative Areas "Artificial Intelligence and Brain Science" Organizers: Executive Chair: Kenji Doya (OIST) Program Chair: Jun Tani (OIST) Publication Chair: Ryuta Miyata (U. Ryukyus) Publicity Chair: Takashi Sato (NIT, Okinawa College) Finance Chair: Hiromichi Tsukada (OIST) Secretariat: Neural Computation Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan E-mail: ncus (at) oist.jp ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From castro.neuro at pm.me Wed Jun 20 05:02:25 2018 From: castro.neuro at pm.me (=?UTF-8?Q?Andr=C3=A9_Castro?=) Date: Wed, 20 Jun 2018 05:02:25 -0400 Subject: Connectionists: Neuronal morphology and structure workshop at CNS - 2018 Message-ID: <1BfeTxR73YRwSkn0G7E5StjoFxfwm7y6jtdD8rQCWbo5dpkbmIp1MgdA17kXEI5LKzus8nrbQrsgDO9jYlWm5e6RxiP-3-a-VeZZxyQyv74=@pm.me> Dear all, We are pleased to announce the 4th edition of the Neuronal morphology and structure workshop at [CNS*2018](https://www.cnsorg.org/cns-2018), Seattle, USA. The workshop will be held at the Allen Institute for Brain Science, July 17 . Our confirmed invited speakers are the following: - Hollis Cline (Scripps Research Institute) (keynote) -- "In vivo time-lapse imaging analysis of neuronal structure and functional plasticity" - Ruth Benavides-Piccione (Instituto Cajal, Spain) -- "The microanatomy of pyramidal cells" - Staci Sorensen[,](http://www.treestoolbox.org/CNS2018_dendrites_workshop/speakers.html#SS) (Allen Institute, USA) -- "Morphological, electrophysiological and transcriptional descriptions of cortical cell types" - Erik De Schutter (OIST, Japan) -- "The Purkinje cell dendrite causes its unique firing rate-dependent phase response curve" - Uygar S?mb?l (Allen Institute, USA) -- "Quantifying neuroanatomy" - Lida Kanari (EPFL, Switzerland) -- "Randomness and structure in artificially generated neuronal networks" - Casey Schneider-Mizell (Janelia Research Campus, USA) -- "The neuroanatomy of connectivity in the Drosophila larva" - Kurt Haas (University of British Columbia, Canada) -- "Dynamic morphometrics: Rapid time-lapse imaging and quantification of experience-driven dendrite growth" - Sophie Laturnus (Universit?t T?bingen, Germany) -- "A systematic comparison of neural morphology representations for cell type discrimination" - Hongkui Zeng (Allen Institute, USA) -- ''Morphology as a key feature for neuronal cell type classification'' Please see our [website](http://www.treestoolbox.org/CNS2018_dendrites_workshop/index.html) for more details. Organising Committee: Alexander Bird (Ernst Str?ngmann Institute and FIAS, Frankfurt) Andr? Castro (Ernst Str?ngmann Institute and FIAS, Frankfurt) Hermann Cuntz (Ernst Str?ngmann Institute and FIAS, Frankfurt) -------------- next part -------------- An HTML attachment was scrubbed... URL: From joerg.stueckler at tuebingen.mpg.de Wed Jun 20 12:22:58 2018 From: joerg.stueckler at tuebingen.mpg.de (=?UTF-8?B?SsO2cmcgU3TDvGNrbGVy?=) Date: Wed, 20 Jun 2018 18:22:58 +0200 Subject: Connectionists: Call for Demos ECCV 2018: European Conference on Computer Vision Message-ID: European Conference on Computer Vision (ECCV 2018) 8-14 September, 2018, Munich Germany Call for Demos The 2018 European Conference on Computer Vision (ECCV 2018) is pleased to invite researchers from both academia and industry to submit applications to present live demonstrations as an opportunity to showcase their research results and computer vision systems to the conference attendees. Academic applications are not limited to papers accepted to ECCV 2018 or its workshops. Any demonstration showcasing the effectiveness of computer vision methods are welcome. Industrial applications should submit demos based on their ECCV 2018 accepted papers in the main conference or workshops, or previously published papers at computer vision conferences. The demo can be extended from the paper itself. Demonstrations by industrial partners are welcome if focused on novel research outcomes, while commercial products should be presented as part of the ECCV Exhibits rather than as demonstrations. Demonstrations will be held in parallel with the poster sessions during the Main Conference (September 10-13). All submissions will be reviewed. * Important dates: * Demo submission: July 15th, 2018 Acceptance notification: August 7th, 2018 Demo dates: September 10-13, 2018 Demonstration applicants should fill out a Demo Expression of Interest (available online at https://eccv2018.org/calls/calls-for-demos/) and email it together with any supporting material to the Demo Chairs at demos at eccv2018.org. The Demo Chairs will select demonstrations based on their relevance to ECCV 2018 and their scientific merit. The best demonstration will be awarded the ECCV 2018 Best Demo Prize. For more information please see https://eccv2018.org/calls/calls-for-demos/ or contact the ECCV 2018 Demo Chairs by e-mail at demos at eccv2018.org Demo Chairs: Federico Tombari, Joerg Stueckler -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas_serre at brown.edu Wed Jun 20 21:45:22 2018 From: thomas_serre at brown.edu (Thomas Serre) Date: Wed, 20 Jun 2018 21:45:22 -0400 Subject: Connectionists: =?utf-8?q?Paul_J=2E_Salem_Postdoctoral_Scholars_i?= =?utf-8?q?n_Computational_Brain_Science_=E2=80=93_Carney_Institute?= =?utf-8?q?_for_Brain_Sciences=2C_Brown_=28Providence=2C_RI=29?= In-Reply-To: References: Message-ID: The Frank and Serre labs at Brown university are seeking applicants for the Paul J. Salem Postdoctoral Scholarships in Brain Science. The postdoctoral fellow will lead an exciting new project at the interface between machine learning and neuroscience. In particular, we are looking for computational neuroscience and machine learning experts interested in the intersection between vision, memory and reinforcement learning. Relevant projects in the two groups can be seen in the following example works: - Franklin, N.T. & Frank, M.J. (2018). Compositional clustering in task structure learning. *PLOS Computational Biology, 14(4): e1006116*. http://ski.clps.brown.edu/papers/FranklinFrank_Compositional18.pdf - Nassar, M.R., Helmers, J. & Frank, M.J. (2018). Chunking as a rational strategy for lossy data compression in visual working memory. *Psychological Review*. http://ski.clps.brown.edu/papers/NassarHelmersFrank_chunking.pdf - Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. 2018 https://arxiv.org/abs/1805.08315v1 - Drew Linsley, Dan Scheibler, Sven Eberhardt, Thomas Serre. Global-and-local attention networks for visual recognition. 2018 https://arxiv.org/abs/1805.08819v1 Candidates are expected to have a solid background in one or more of the following domains: modern machine learning, computational models of neural dynamics underlying perceptual or cognitive processes, signal processing. In addition, to conducting primary research with neural networks, candidates will be involved in the mentoring of students, and will participate in workshops and challenges at the interface between machine learning and neuroscience (see e.g., http://compneuro.clps.brown.edu/datathon_2017/and http://compneuro.clps.brown.edu/2018-modeling-competition/). The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. The start date is negotiable though an early start is strongly preferred. Salary is commensurate with experience and is competitive. We encourage Salem Scholars to seek external funding during their appointment, as a critical component in their professional development. *Requirements:* Candidates must have received their PhDs within 3 years of the application deadline, and will work under the supervision of Drs Frank and Serre who are affiliated with the Carney Initiative for Computation in Brain and Mind. They must have a strong background in computational neuroscience and machine learning, with a track record of relevant publications at top venues (such as NIPS, ICML, PLOS Computational Biology, etc). Excellent programming skills are required (e.g., C/C++/Matlab/Python/R). *Application:* Please send your applications by email to michael_frank at brown.edu thomas_serre at brown.edu. Please include a brief statement of interests, a curriculum vita, a list of publications and the name of 2-3 reference writers (no letter needed at this stage). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. *The Carney Initiative for Computation in Brain and Mind (CICBM;* http://compneuro.clps.brown.edu ), which began Fall 2013 as a component of BIBS, is an energetic and enthusiastic effort that fosters synergistic collaborations across departments. Groups affiliated with the initiative work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. CICBM has 16 core computational faculty (http://compneuro.clps.brown.edu/people/) spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. Computational neuroscience tools at Brown have been applied in projects including brain-machine control of robotic arms in paralyzed humans; models of visual systems in biological organisms and their innovative application for classifying animal behavioral patterns; predicting and quantifying effects of genetics, disease, medications, and brain stimulation on motor and cognitive function; identification of the source of neural rhythms and their roles in sensorimotor function; development of fundamental theories of brain plasticity, and learning; state-of-the art models of machine learning and reinforcement learning in computer science. The Carney Institute for Brain Science at Brown University advances multidisciplinary research, technology development, and training in the brain sciences and works to establish Brown University as an internationally recognized leader in brain research. The institute was just endowed with a new $100 million gift. CIBS unites more than 100 faculty from a diverse group of departments at Brown, spanning basic and clinical departments, and physical and biological sciences. CIBS provides a mechanism to advance interdisciplinary research efforts among this broad group. CIBS provides essential support to obtain and administer multi-investigator grants for research, infrastructure, and training. The Institute actively seeks new training funds to support interdisciplinary education that transcends that available in individual academic departments. -- Thomas Serre | GMT -5:00 EDT | T: +1 401-484-0750 Associate Professor of Cog Ling & Psych Sciences | Brown University URL: goo.gl/G69SaF | Google Talk: tserre | Skype: thomas.serre -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Wed Jun 20 07:54:35 2018 From: doya at oist.jp (Kenji Doya) Date: Wed, 20 Jun 2018 20:54:35 +0900 Subject: Connectionists: Call for Papers: JNNS2018 Message-ID: <3C1A8611-0680-4ABF-BCAC-6D519B762F11@oist.jp> Annual Conference of the Japanese Neural Network Society (JNNS2018) October 24-27, 2018 Okinawa Institute of Science and Technology, Okinawa, Japan Web site: http://www.jnns.org/conference/2018 The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018) will be held from October 24th to 27th at Okinawa Institute of Science and Technology (OIST). JNNS2018 aims to provide a forum for scientists, engineers, educators, and students to discuss the latest progress and future challenges in the field of neural information processing. All presentations will be in English. Keynote Speakers: ? Prof. Shun-ichi Amari (RIKEN) ? Prof. Tomaso Poggio (MIT) Tutorials: ? Introduction to Deep Learning: Yutaka Matsuo Lab (U. Tokyo) ? Applications of Deep Learning to Neuroscience: Yukiyaku Kamitani (Kyoto U.) ? Recurrent Neural Networks and Robotics: Tetsuya Ogata (Waseda U.) Symposia: ? Whole-Brain Architecture: Hiroshi Yamakawa (DWANGO) ? Learning in Spiking Neural Networks: Taro Toyoizumi (RIKEN) ? Symbol Emergence in Robotics: Tadahiro Taniguchi (Ritsumeikan U.) Call for Papers: JNNS2018 invites submissions of papers on substantial and original research in all aspects of neural information processing. We welcome contributions from diverse fields including neurobiology, psychology, mathematical modeling and analysis, machine learning, and information technology. The presenting author should be a member of JNNS or supporting societies except presenters from overseas. An author can present only one paper but can be a non-presenting co-author of other papers. Papers should be written in English and is limited to two pages in A4 format using the LaTeX or Word template provided on the web site. Papers should be submitted through the on-line submission system accessible from the web site. The deadline is noon UTC (9 pm JST) of June 30, 2018. All submitted papers will go through reviewing for acceptance and selection for oral presentation. The result will be notified by August 24th. The presenting authors of accepted papers are asked to register for attendance through the web site by August 31, 2018; otherwise, the acceptance will be cancelled. Accepted papers will be available online prior to the conference. Presentation Format: All general presentations will be given in poster sessions. Selected papers will be presented in single-track oral sessions as well. Important Dates: Paper submission deadline: June 30, 2018 Notification of acceptance: August 24, 2018 Early registration deadline: August 31, 2018 Sponsor: Japanese Neural Network Society Co-Sponsor: Okinawa Institute of Science and Technology KAKENHI Innovative Areas "Artificial Intelligence and Brain Science" Organizers: Executive Chair: Kenji Doya (OIST) Program Chair: Jun Tani (OIST) Publication Chair: Ryuta Miyata (U. Ryukyus) Publicity Chair: Takashi Sato (NIT, Okinawa College) Finance Chair: Hiromichi Tsukada (OIST) Secretariat: Neural Computation Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan E-mail: ncus (at) oist.jp ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From luca.oneto at unige.it Thu Jun 21 04:32:49 2018 From: luca.oneto at unige.it (Luca Oneto) Date: Thu, 21 Jun 2018 10:32:49 +0200 Subject: Connectionists: INNSBDDL2019 - Call For Paper / Workshop / Tutorials Message-ID: Apologies for cross-posting. Kindly help to distribute this call to your mailing list. INNS BIG DATA AND DEEP LEARNING 2019 SESTRI LEVANTE, GENOA, ITALY, 16-18 APRIL 2019 HTTPS://INNSBDDL2019.ORG/ WEBSITE https://innsbddl2019.org/ VENUE & ORGANIZATION The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be held in Sestri Levante, Italy, April 16?18, 2019. The conference is organized by the International Neural Network Society, with the aim of representing an international meeting for researchers and other professionals in Big Data, Deep Learning and related areas. It will feature invited plenary talks by world-renowned speakers in the area, in addition to regular and special technical sessions with oral and poster presentations. Moreover, workshops and tutorials will also be featured. IMPORTANT DATES Deadline for submission of tutorial and workshop proposals: August 31, 2018 Notification of tutorial and workshop proposals: September 30, 2018 Deadline of full paper submission: October 31, 2018 Notification of paper acceptance: December 31, 2018 Camera-ready submission: January 31, 2019 Early registration deadline: January 15, 2019 Registration deadline: January 31, 2019 Conference date: April 16-18, 2019 SCOPE We solicit both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations in any aspect of Big Data and Deep Learning. Both theoretical and practical results are welcome. Example topics of interest includes but is not limited to the following: Big Data Science and Foundations - Novel Theoretical Models for Big Data - New Computational Models for Big Data - Data and Information Quality for Big Data Big Data Mining - Social Web Mining - Data Acquisition, Integration, Cleaning, and Best Practices - Visualization Analytics for Big Data - Computational Modeling and Data Integration - Large-scale Recommendation Systems and Social Media Systems - Cloud/Grid/StreamData Mining - Big Velocity Data - Link and Graph Mining - Semantic-based Data Mining and Data Pre-processing - Mobility and Big Data - Multimedia and Multi-structured Data-Big Variety Data Modern Practical Deep Networks - Deep Feedforward Networks - Regularization for Deep Learning - Optimization for Training Deep Models - Convolutional Networks - Sequence Modeling: Recurrent and Recursive Nets - Practical Methodology Deep Learning Research - Linear Factor Models - Autoencoders - Representation Learning - Structured Probabilistic Models for Deep Learning - Monte Carlo Methods - Confronting the Partition Function - Approximate Inference - Deep Generative Models PROCEEDINGS & SPECIAL ISSUE Works submitted as a regular paper will be published in a serie indexed by Scopus. Submitted papers will be reviewed by some PC members based on technical quality, relevance, originality, significance and clarity. At least one author of an accepted submission should register to present their work at the conference. Selected papers presented at INNS BDDL 2019 will be included in special issues of top journals in the field (prospected journals: Big Data Research, Transaction on Neural Networks and Learning System, Neurocomputing, etc). -------------- next part -------------- An HTML attachment was scrubbed... URL: From icpram at insticc.info Wed Jun 20 13:41:46 2018 From: icpram at insticc.info (icpram at insticc.info) Date: 20 Jun 2018 18:41:46 +0100 Subject: Connectionists: CFP ICPRAM 2019 - 8th Int.l Conf. on Pattern Recognition Applications and Methods (Prague/Czech Republic) Message-ID: <20180620174146.1.37FC2B744DF84481@insticc.info> SUBMISSION DEADLINE 8th International Conference on Pattern Recognition Applications and Methods Submission Deadline: October 1, 2018 http://www.icpram.org/ February 19 - 21, 2019 Prague, Czech Republic. ICPRAM is organized in 2 major tracks: - Theory and Methods - Applications In Cooperation with: EUROGRAPHICS and AFIG.
Proceedings will be submitted for indexation by: DBLP, DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Semantic Scholar.
With the presence of internationally distinguished keynote speakers: Linda G. Shapiro, University of Washington, United States Bram van Ginneken, Radboud University Medical Center, Netherlands Michal Irani, Weizmann Institute of Science, Israel Davide Maltoni, University of Bologna, Italy A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICPRAM Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 185 Fax: +351 265 520 186 Web: http://www.icpram.org/ e-mail: icpram.secretariat at insticc.org From elias.tragos at insight-centre.org Thu Jun 21 10:57:46 2018 From: elias.tragos at insight-centre.org (Elias Tragos) Date: Thu, 21 Jun 2018 15:57:46 +0100 Subject: Connectionists: Postdoc positions in Recommender Systems @ UCD, Dublin, Ireland Message-ID: apologies for cross-posting *Postdoc positions in Recommender Systems* We are looking to recruit a number of Post-Doctoral Research Fellows to start in September 2018 on a new multi-million-euro, multi-year industry research project, funded by a global technology company. The project will develop next generation recommender systems technologies, drawing on the experience and expertise of a leading recommender systems research group in UCD as part of the Insight Centre for Data Analytics. This is a 2-year position. You will work on the design and development of an industrial recommender system, developing new or advanced research skills associated with the research project, publishing in top level peer-reviewed academic venues, as well as supervising and mentoring graduate students. The project will require close collaboration with industry partners. The successful candidate will have the opportunity to work with a team of world-class experts in Recommender Systems in an ambitious industry-driven research project. The candidate will contribute to the success of the project and to the improvement of the team?s skills and expertise. Salary: ?43,828 - ?47,728 per annum. Appointment on the above range will be dependent upon qualifications and experience. Closing Date: 17.00hrs (Local Irish Time) on 19th July 2018. https://www.cs.ucd.ie/postdoc-pos-rec-systems/ *Essential Skills:* - PhD in Computer Science or related discipline - 2-3 years postdoctoral research experience - A willingness and a desire to collaborate with industrial R&D - Demonstrated experience in Recommender Systems - Demonstrated experience in Machine Learning - Demonstrated understanding of Deep Learning *Desirable skills:* Extensive experience in any of the following: - Tools for Big Data analysis (spark, hadoop, etc) - Explanations for recommender systems - Privacy for Recommender Systems - Natural Language Processing - Embedded Systems (particularly recommended systems on embedded platforms) - Diversity in Recommender systems - Distributed/decentralized machine learning - Strong demonstrated software development skills in languages like python, Java, R... and relevant data analytics packages and libraries. Informal enquiries about this position can be made to: elias.tragos ?at? insight-centre.org. *Application:* Applications must be submitted by the deadline online at https://www.ucd.ie/workatucd/jobs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Jun 21 13:02:58 2018 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 21 Jun 2018 10:02:58 -0700 Subject: Connectionists: NEURAL COMPUTATION - July 1, 2018 In-Reply-To: Message-ID: Neural Computation - Volume 30, Number 7 - July 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/7 ----- Letters Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes Vitaly L Galinsky, Antigona Martinez, Martin M. Paulus, and Lawrence R. Frank T-SNE Visualization of Large-scale Neural Recordings George Dimitriadis, Joana P. Neto and Adam R. Kampff Fully Convolutional Network Based Multi-Focus Image Fusion Xiaopeng Guo, Rencan Nie, Jinde Cao, Dongming Zhou and Wenhua Qian A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilising Auditory Nerve Firing for Auditory Category Learning Irina Higgins, Simon Stringer and Jan Schnupp Hidden Quantum Processes, Quantum Ion Channels and 1/f Type Noise Alan Paris, Azadeh Vosoughi, Stephen A Berman and George Atia Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus C. du Plessis, Frank C. Park and Daniel D. Lee A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition Gavin Jenkins, Paul Tupper A Reinforcement Learning Neural Network for Robotic Manipulator Control Yazhou Hu and Bailu Si Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy From the Viewpoint of Stochastic Optimization Tomoumi Takase, Satoshi Oyama and Masahito Kurihara ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From bodenhofer at bioinf.jku.at Fri Jun 22 03:33:51 2018 From: bodenhofer at bioinf.jku.at (Ulrich Bodenhofer) Date: Fri, 22 Jun 2018 09:33:51 +0200 Subject: Connectionists: Two Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Message-ID: Two Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Johannes Kepler University Linz (JKU), Austria, is looking for two post-doctoral research fellows to advance machine learning and deep learning research with Sepp Hochreiter. These six year positions are affiliated both with the newly established LIT AI Lab and the Institute for Machine Learning. Job description: ???? conduct independent research in the field, ?? ? collaborate in machine learning and deep learning projects, ???? publish in renowned international journals and conferences, ???? supervise students; prepare and hold lectures; support study programs. Requirements: ???? PhD degree, ???? track record in machine learning (e.g. deep learning, reinforcement learning, kernel methods, probabilistic modeling, meta-learning, attention models), ???? knowledge in one or more of the following application domains is a plus: signal processing, vision, speech, natural language processing, physics, bio-/chemoinformatics, computational medicine, autonomous driving, ???? willingness and ability to work in a team and to support students and junior researchers. About the group: Within the last years, Sepp Hochreiter (who is best known for the invention of LSTM, for the Vanishing Gradient problem, ?Flat Minima?, and ?Learning to Learn?) has built up a dynamic team of more than 20 researchers. The group has recently achieved widely acclaimed contributions and successes, such as, winning the NIH?s Tox21 toxicity prediction challenge with deep learning, the invention of the ELU activation function, Self-Normalizing Networks, and providing a convergence proof for GAN learning. The group has many international collaborations and receives funding from national and international research programs as well as from companies, such as, Johnson&Johnson, Merck, Bayer, Zalando and from joined labs like the Audi.JKU Deep Learning Center. About the location: The area offers an excellent quality of living in the heart of Europe ? close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, most famous for the Ars Electronica Festival, the Brucknerfest, and the nearby Salzburg Festival. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more). If you have questions, please contact: Prof. Dr. Sepp Hochreiter, +43 732 2468 4520, recruitment at bioinf.jku.at. Prospective applicants interested in these positions are requested to electronically send an application via the online portal http://jku.at/application. Please include ?Job Reference Number 3619? (deadline: July 30, 2018) or ?Job Reference Number 3578? (deadline: July 4, 2018). From joerg.stueckler at tuebingen.mpg.de Fri Jun 22 03:56:28 2018 From: joerg.stueckler at tuebingen.mpg.de (Joerg Stueckler) Date: Fri, 22 Jun 2018 09:56:28 +0200 Subject: Connectionists: Two PhD Student Positions in Computer Vision for Learnings Systems at MPI-IS, Germany Message-ID: Two PhD Student Positions in Computer Vision for Learnings Systems within the Embodied Vision Group at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany https://ev.is.mpg.de/jobs/2-phd-student-positions-in-computer-vision-for-learning-systems ========================================================================================= *Research questions* The Embodied Vision Group at the Max Planck Institute for Intelligent Systems investigates novel methods for autonomous systems to learn dynamic scene understanding and to use this understanding to perform complex tasks such as navigation or object manipulation. We aim at systems that learn from raw sensor measurements like images or tactile information and through action within their environment. A research focus in this context is on computer vision topics, including ?* Physical and 3D dynamic scene understanding ?* Learning of predictive environment models ?* Self-supervised and online visual and multi-modal learning ?* Vision-based interactive perception and learning for object manipulation ?* Vision-based navigation for drones and mobile robots ?* Deep reinforcement learning *The positions* We are looking for two PhD students who are holding an outstanding Master?s degree in the computer or natural sciences, electrical or control engineering or applied mathematics. The PhD students will conduct research in one or several of the above topic areas. ?* Candidates should have studied areas related to computer vision and ?? machine learning.Areas of particular interest for us at the moment ?? are deep learning, visual scene understanding, ?? visual/visual-inertial simultaneous localization and mapping, 3D ?? scene reconstruction, robot vision, robot learning and deep ?? reinforcement learning. ?* Successful candidates will typically have ranked at or near the top ?? of their classes and be highly proficient in written and spoken ?? English. ?* Excellent computer science skills as well as a strong mathematical ?? background are required. ?* Prior research experience in computer vision, deep learning, robotic ?? object manipulation or autonomous navigation is a plus. The PhD students will receive a PhD funding contract with an initial duration of 3 years. The position is funded for 3-4 years. Salary will be based on previous experience according to guidelines of the German Collective Wage Agreement for the Public Service (TV?D). The earliest start date is August 1st, 2018. The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max-Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. *The group* The Embodied Vision Group (https://ev.is.mpg.de) is a newly established research group at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany, and is lead by Dr. Joerg Stueckler. The institute is a world-class center for foundational research in machine learning, computer vision, robotics and material science. T?bingen is a scenic medieval university town, cradled in what is simultaneously one of Germany?s most beautiful landscapes in one of Europe?s most economically successful areas. The working language at the institute is English. *How to apply* Applications and inquiries should be sent quoting reference number 33.18 to Dr. Joerg Stueckler (see contact details below). Applications must be submitted by email as a single pdf (max. 10 MB) and include a CV, motivation letter with research statement, publication list, transcripts of BSc and MSc degrees, and contact details of 2-3 references. Optionally, up to 2 selected own publications or theses can be included in a second pdf (max. 5 MB). Applications should also indicate earliest date of availability. There is no fixed application deadline; applications are considered until the positions have been filled or are no longer needed. Preference will be given to applications received before July 15th, 2018. For further details on the positions and how to apply, please visit https://ev.is.mpg.de/jobs/2-phd-student-positions-in-computer-vision-for-learning-systems Please liberally forward this announcement and share to possibly interested candidates or persons who might know suitable candidates. Best regards, Joerg Stueckler -- Dr. Joerg Stueckler Max Planck Research Group Leader Embodied Vision Group Max-Planck-Institute for Intelligent Systems Max-Planck-Ring 4 72076 T?bingen Tel. +49 (0)7071 601-385 Email: joerg.stueckler at tue.mpg.de http://ev.is.mpg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From bodenhofer at bioinf.jku.at Fri Jun 22 03:33:54 2018 From: bodenhofer at bioinf.jku.at (Ulrich Bodenhofer) Date: Fri, 22 Jun 2018 09:33:54 +0200 Subject: Connectionists: 10 PhD Positions in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Message-ID: 10 PhD Positions in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Johannes Kepler University Linz (JKU), Austria, is looking for research assistants and junior researchers in the area of machine learning and deep learning with Sepp Hochreiter. These fully-funded positions will be affiliated with the LIT AI Lab and the Institute for Machine Learning andCandidates are expected to enroll into JKU?s PhD programme, and have to option to complete their PhD under Sepp Hochreiter?s supervision. Job description: ???? conduct research in machine learning / deep learning with the aim to obtain a PhD within four years, ???? publish in renowned international journals and conferences, ???? work in research projects at the LIT AI Lab or in collaboration with partners. Requirements: ???? MSc degree or equivalent, ???? strong interest and previous education in machine learning (e.g. deep learning, reinforcement learning, kernel methods, probabilistic modeling, meta-learning, attention models); a track record in the field is a plus (e.g. MSc thesis, publications, project experience), ???? knowledge in one or more of the following application domains is a plus: signal processing, vision, speech, natural language processing, physics, bio-/chemoinformatics, computational medicine, autonomous driving. About the group: Within the last years, Sepp Hochreiter (who is best known for the invention of LSTM, for the Vanishing Gradient problem, ?Flat Minima?, and ?Learning to Learn?) has built up a dynamic team of more than20 researchers. The group has recently achieved widely acclaimed contributions and successes, such as, winning the NIH?s Tox21 toxicity prediction challenge with deep learning, the invention of the ELU activation function, Self-Normalizing Networks, and providing a convergence proof for GAN learning. The group has many international collaborations and receives funding from national and international research programs (like the EU) as well as from companies, such as, Johnson&Johnson, Merck, Bayer, Zalando and from joined labs like the Audi.JKU Deep Learning Center. About the location: The area offers an excellent quality of living in the heart of Europe ? close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, most famous for the Ars Electronica Festival, the Brucknerfest, and the nearby Salzburg Festival. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more). If you have questions, please contact: Prof. Dr. Sepp Hochreiter, +43 732 2468 4520, recruitment at bioinf.jku.at. From bodenhofer at bioinf.jku.at Fri Jun 22 03:33:53 2018 From: bodenhofer at bioinf.jku.at (Ulrich Bodenhofer) Date: Fri, 22 Jun 2018 09:33:53 +0200 Subject: Connectionists: Five Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Message-ID: Five Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Johannes Kepler University Linz (JKU), Austria, is looking for five post-doctoral research fellows to advance machine learning and deep learning in close collaboration with Sepp Hochreiter. These positions are affiliated with the LIT AI Lab and the Institute for Machine Learning. Job description: ???? conduct independent research in the field, ?? ? collaborate in machine learning and deep learning projects, ?? ? publish in renowned international journals and conferences. Requirements: ???? PhD degree, ???? track record in machine learning (e.g. deep learning, reinforcement learning, kernel methods, probabilistic modeling, meta-learning, attention models), ???? knowledge in one or more of the following application domains is a plus: signal processing, vision, speech, natural language processing, physics, bio-/chemoinformatics, computational medicine, autonomous driving, ???? willingness and ability to work in a team. About the group: Within the last years, Sepp Hochreiter (who is best known for the invention of LSTM, for the Vanishing Gradient problem, ?Flat Minima?, and ?Learning to Learn?) has built up a dynamic team of more than20 researchers. The group has recently achieved widely acclaimed contributions and successes, such as, winning the NIH?s Tox21 toxicity prediction challenge with deep learning, the invention of the ELU activation function, Self-Normalizing Networks, and a convergence proof for GAN learning. The group has many international collaborations and receives funding from national and international research programsas well as from companies, such as, Johnson&Johnson, Merck, Bayer, Zalando and from joined labs like the Audi.JKU Deep Learning Center. About the location: The area offers an excellent quality of living in the heart of Europe ? close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, most famous for the Ars Electronica Festival, the Brucknerfest, and the nearby Salzburg Festival. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more). If you have questions, please contact: Prof. Dr. Sepp Hochreiter, +43 732 2468 4520, recruitment at bioinf.jku.at. From muftimahmud at gmail.com Fri Jun 22 14:44:52 2018 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Fri, 22 Jun 2018 19:44:52 +0100 Subject: Connectionists: CfP: Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data at BI 2018, Arlington, Texas, USA. Message-ID: *[Apologies for cross posting.]* *Call for Paper for Special Session on* *Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data* *11th Brain Informatics Conference (BI 2018), Arlington, Texas, USA, December 7-9, 2018* *Web: http://uta.engineering/conferences/bi-2018/ * Organizers: *Mufti Mahmud1, M Shamim Kaiser2, Ning Zhong3, Nitish V Thakor4* *1**Computing and Technology, Nottingham Trent University, NG11 8NS ? Nottingham, UK* *2**Institute of Information Technology, Jahangirnagar University, Savar, 1342 ? Dhaka, Bangladesh* *3**Dept. of Life Science and Informatics, Maebashi Institute of Technology, 371-0816 - Maebashi-City, Japan* *4**Singapore Institute for Neurotechnology, National University of Singapore, 117456 ? Singapore; &* *Dept. of Biomedical Engineering, Johns Hopkins University, Baltimore, 21205 ? MD, USA* *Introduction:* The brain receives and processes information simultaneously coming from diverse sources. The neurons, being the basic information processing units, interconnect to each other to form hierarchical and/or parallel pathways. Technologies related to neural systems engineering have been employed to study these pathways along with processing and modelling of neuronal data for disease diagnosis and brain decoding purposes. Combining both experimental and computational approaches in recent years, thanks to the advancements in neurotechniques, scientists can access large amount of neuronal data and apply computationally intelligent and nature-inspired machine learning techniques including deep learning and reinforcement learning on those data to suggest next generation experimental design aiming to decipher brain?s information processing capabilities and diagnose its diseases. *Scope:* Developing data-intensive and intelligent tools, as well as sophisticated neurotechniques, to process and analyse the neuronal big data is one of the biggest challenges posed to today?s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special session aims to provide a forum for scientists from diverse disciplines including ? computer, electrical, biomedical, and neuro engineering ? who are looking for more relevant information in interpreting brain functions and diagnosing diseases using expert and computationally intelligent systems. This special session expects to attract papers on recent research progress in the area of intelligent computational tools and techniques in acquiring and processing neuronal big data. The focus areas include, but not limited to, the following: ? Neural systems engineering and technology to study neural pathways; ? Processing and modelling of neuronal data for disease diagnosis and brain decoding; ? Bio-inspired methods for network analysis and pattern recognition in neural data; ? Novel machine learning techniques for neuronal big data analysis; ? Application of deep and reinforcement learning to neuronal big data analysis; ? Computationally intelligent techniques for neuroscience applications; ? Neuroinformatics (including cloud computing and real-time systems); ? Cognitive science applications (learning, workload, decision making, etc.) and data analytics; ? Computational and imaging methods for human brain connectome; and ? Information analysis in human brain machine interface (invasive, noninvasive). *Submission of papers:* Submit Springer Lecture Notes in Computer Science (LNCS) complaint ? 10 page ? pdf paper to the Special Session following the steps below: ? Prepare the paper as per the Springer LNCS template from: http://www.springer.com/us/computer-science/lncs/conference-proceedings-guidelines ? Visit https://wi-lab.com/cyberchair/2018/bi18/scripts/ws_submit.php?subarea=S ? Select the link: Special session on Computationally Intelligent Methods in Processing and Analysis of Neuronal Big Data ? Select the link Submit a New Paper (TYPE I Submission) ? Provide paper details (i.e., Author(s), Paper Title, Abstract, Keywords, PDF file to upload). *Important dates:* ? Paper submission deadline: *30 July 2018* ? Decision notification: *30 August 2018* ? Special Session date: *7 December 2018* ? Conference dates: *8-9 December 2018* -- *Mufti Mahmud, PhD* | (Senior) Lecturer of Computing & Technology | School of Science & Technology Office: ERD200 | Nottingham Trent University | Clifton Campus | NG11 8NS ? Nottingham, UK Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk Meeting requests: https://doodle.com/mufti http://orcid.org/0000-0002-2037-8348 https://sites.google.com/site/muftimahmud/ https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en Senior Member, IEEE & ACM Associate Editor, IEEE Access Editorial Board Member, Cognitive Computation & Big Data Analytics -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Sat Jun 23 03:28:04 2018 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Sat, 23 Jun 2018 07:28:04 +0000 Subject: Connectionists: PhD in Cognitive Robotics, University of Manchester UK Message-ID: <6E56038893A6B9408962EE87A0F353BE3DF6B2@MBXP13.ds.man.ac.uk> PhD studentship available at the University of Manchester, UK Project description The design of Theory of Mind (ToM) capabilities in interactive robotic agents, which scaffolds on the developmental acquisition of basic social and cognitive capabilities, can allow robots to recognise the actions, goals, intentions, desires and beliefs of others. A robot can use its ToM skills to improve the interaction with human users, e.g. by reading the intention of the others and reacting appropriately to the emotional, attentional, and cognitive states of the other agents, to anticipate their reactions, and to modify its own behavior to satisfy these expectations and needs. Moreover, ToM competence on the reading of the goals and beliefs and expected actions of the other agent is key to building and maintaining trust, as it allows the robot to distinguish between reliable (trustworthy) partners and unrealiable (untrustworthy) people or situations. The THRIVE++ project aims to investigate the complex, dynamic interaction between people???s and robots??? Theory of Mind (ToM) skills for the building of trust. It specifically aims at the design of a developmental robotics cognitive architecture of theory of mind and trust, based on the incremental acquisition of intention reading and ToM agency skills. This architecture will be validated via human-robot interaction experiments on the use of the robot???s ToM in supporting trust interaction with people in a variety of social and environmental contexts. The PhD student will contribute to this project with the design and implementation of the computational cognitive architecture, using a variety of machine learning and robotics methods. The architecture will use a developmental robotics approach, where the robot acquires incrementally complex skills to represent the intention of others (robots and people). S/he will also be responsible for designing and carrying out of a set of human-robot experiments. The PhD studentship includes 3-year salary (UK standard bursary rate) and cover all UK/EU PhD fees. Applicants are expected to have: * An excellent undergraduate degree in Computer Science or Artificial Intelligence (or related discipline), and preferably, a relevant MSc degree. * Confidence and independence in programming complex systems. * Previous academic experience in cognitive robotics or machine learning (desired). * Excellent report writing and presentation skills. Please note that applicants must additionally satisfy the standard requirements for postgraduate studies at the University of Manchester, such as a first-class or high upper-second class (or an equivalent international qualification) and English language qualifications, as stated in the PGR guidelines. Qualified applicants are strongly encouraged to informally contact Professor Angelo Cangelosi (angelo.cangelosi at manchester.ac.uk) to discuss the application prior to applying. Application deadline: 31 July 2018 http://www.cs.manchester.ac.uk/study/postgraduate-research/projects/description/?projectid=16040 -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Sat Jun 23 12:53:02 2018 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Sat, 23 Jun 2018 18:53:02 +0200 Subject: Connectionists: CIBB2018 - last deadline extension: 1 July 2018 Message-ID: <20180623185302.Horde.sZUDYHKBoOCX6uk_Gx1muw7@webmail.uniparthenope.it> Apologize for multiple posting. ------------------------------------------- Last deadline extension: 1 July 2018 ------------------------------------------- Call for Papers ------------------------------------------------------------------------------- CIBB2018 15th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics Caprica, Portugal, 6-8 September 2018? http://eventos.fct.unl.pt/cibb2018 ------------------------------------------------------------------------------- The main goal of the CIBB international conference is to provide a multi-disciplinary forum open tofor researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also of particular interest are, looking at current trends and future opportunities at the edge of computer and life sciences, together with the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great interest for the conference. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2018 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Topics of interest include, but are not restricted to: # Next generation sequencing bioalgorithms # Multi-omics data analysis # High dimensional statistical analysis of omics data # Algorithms for alternative splicing analysis # Algorithms for molecular evolution and phylogenetic analysis # Methods for the visualization of high dimensional complex omic data # Software tools for bioinformatics? # Methods for comparative genomics # Methods for functional classification of genes # Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data? # Health-Informatics and Medical Informatics # Methods for the integration of clinical and genetic data # Heterogeneous data integration and data fusion for diagnostics # Algorithms for pharmacogenomics # Biomedical text mining and imaging # Methods for diagnosis and prognosis within personalized medicine # Statistical methods for the analysis of clinical data? # Prediction of secondary and tertiary protein structures # Mass spectrometry data analysis in proteomics # Algorithms for molecular evolution and phylogenetic analysis # Bio-molecular databases and data mining? # Mathematical modeling and automated reasoning on biological and synthetic systems # Computational simulation of biological systems # Methods and advances in systems biology # Spatio-temporal analysis of synthetic and biological systems # Network systems biology #?Models for cell populations and tissues # Methods for the engineering of synthetic components # Modelling and engineering of interacting synthetic and biological systems # Software tools for bioinformatics, biostatistics, systems and synthetic biology GENERAL CHAIRS -------------- Maria Raposo, Universidade Nova de Lisboa, Portugal Paulo Lisboa, Liverpool John Moores University, U.K. Giorgio Valentini, Universit? degli Studi di Milano, Italy? BIOSTATISTICS TECHNICAL CHAIR ----------------------------- Chiara Brombin, Universit? Vita-Salute San Raffaele, Italy BIOINFORMATICS TECHNICAL CHAIR ------------------------------ Angelo Ciaramella, Universit? degli Studi di Napoli "Parthenope", Italy IMPORTANT DATES --------------- ? Paper submission deadline: 1 July 2018 ? Acceptance notification: 9 July 2018 ? Author registration due: 20 July 2018 ? Camera ready due: 29 July 2018 Conference: 6-8 September 2018 ? SUBMISSION WEBSITE ------------------ The submission website is http://www.easychair.org/conferences/ PUBLICATION ----------- Pdf versions of accepted papers will be distributed at the conference. At least one author of an accepted paper is required to register and present their paper at the conference.? Authors of accepted papers will be invited to submit an extended version of their work to a post-conference monograph.? We plan to invite all papers for a volume in the Springer series of Lecture Notes in Bioinformatics (LNBI). Continuing the tradition of CIBB, we are also planning to invite the best papers, as an alternative to the publication on LNBI, to a special issue of an international scientific journal (such as BMC Bioinformatics, as in the latest editions). --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From hbilen at ed.ac.uk Sun Jun 24 10:57:41 2018 From: hbilen at ed.ac.uk (Hakan Bilen) Date: Sun, 24 Jun 2018 15:57:41 +0100 Subject: Connectionists: PhD Studentship at University of Edinburgh in Computer Vision and Machine Learning In-Reply-To: <80067351-a9aa-84fa-2df4-880e7440b393@ed.ac.uk> References: <80067351-a9aa-84fa-2df4-880e7440b393@ed.ac.uk> Message-ID: <4425a752-1a7a-fe21-9dc1-f78d3fe98490@ed.ac.uk> Dear all, We are seeking an exceptional UK/EU PhD candidate to study in the prestigious in the Institute of Perception, Action and Behaviour (IPAB ) at the University of Edinburgh. The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research projects using Deep Learning. The goal of this project is to develop the next generation of deep learning systems for computer vision with a focus on object pose estimation. The successful candidate will have the opportunity to collaborate with leading computer vision and machine learning groups in the UK and Europe. The work will be carried out under the supervision of Dr Hakan Bilen. *PhD candidate requirements:*We are looking for creative and motivated applicants with, or expected to obtain soon, a 1st Class Honours degree in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Basic programming skills (python, c++, MATLAB) are required. Previous experience on machine learning and computer vision, for example object and action classification, is appreciated but not a requirement. *Funding:*This is a Toyota Belgium funded award and will provide an annual stipend for 3.5 years, plus University fees for UK/EU students. Any eligible non-EU candidates must fund the remainder of the overseas tuition fee. *Application:*If you are interested in the position, please provide a CV, a personal statement detailing your research interests and reasons for applying (max 1 page), marks for your degree(s) and an email address for one academic reference. The application deadline is July 13, 2018 and the expected start date for the position is September/October 2018. All documents should be in electronic format and sent via e-mail to hbilen at ed.ac.uk with the title*[PhD Studentship Toyota]*. *Please only email us if you are a UK or EU citizen for this position.* Hakan* * -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From george at cs.ucy.ac.cy Mon Jun 25 06:08:44 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Mon, 25 Jun 2018 13:08:44 +0300 Subject: Connectionists: 2018 European Conference on Ambient Intelligence (AmI 2018): Last Mile for Paper Submission (***final extension***) In-Reply-To: References: Message-ID: <5F7E40AF-DDB4-4D65-9497-08BF59D04E5E@cs.ucy.ac.cy> *** LAST MILE FOR PAPER SUBMISSION *** 2018 European Conference on Ambient Intelligence (AmI 2018) Golden Bay Beach Hotel, Larnaca, Cyprus, 12-14 November, 2018 http://www.cyprusconferences.org/ami2018 *** Submission Deadline: 7th July 2018 (final) *** Ambient intelligence refers to normal working and living environments being surrounded by embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g. The Internet of Things). Such devices, each specialised in one or more capabilities, are intended to work together based on an infrastructure of intelligent systems, to provide a variety of services improving safety, security and the quality of life in ordinary living, travelling and working environments. ABOUT AMI 2018 The 2018 European Conference on Ambient Intelligence (AmI 2018) has a focus on the role of Ambient Intelligence "Towards a Smart and Human Centered Internet of Things". We invite submissions of full and short papers as well as posters, presenting original research. AmI 2018 is an interdisciplinary venue for leading international researchers, designers, and practitioners that present and discuss new results in Ambient Intelligence. AmI builds on the success of thirteen predecessor conferences, which started in 2003 with the EUSAI-event in Veldhoven, The Netherlands. More information about the AmI series can be found here: http://ami-conferences.org . The Proceedings of AmI 2018 will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Furthermore, Springer will sponsor the Best Paper Award with 1,000 EUR. TOPICS AmI 2018 will revolve around the focus topic ?Towards a Smart and Human- Centred Internet of Things? that follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities. Relevant research topics include, but are not limited to: ? Sensors and Actuators Networks ? Ambient Networking and Communication ? Mobile, Ubiquitous and Pervasive Computing ? Internet of Things and Interconnected devices ? Internet of Humans and Human Sensors ? Artificial Intelligence Models, Methods and Techniques ? Machine Learning, Data mining and Big Data ? Modelling Context Awareness and Location-based Services ? Agent Technologies and Multi-agent Platforms ? Cloud Computing for Intelligent Ambients ? Multimodal Human-Computer Interaction ? Virtual, Mixed and Augmented Reality ? Symmetric Interaction in Real and Virtual worlds ? Reliability, Assurance and Safety ? Security, Privacy and Trust ? Systems Architecture and Middleware ? Software Development Methodologies and Tools ? Robotic Companions ? Industrial Internet and Industry 4.0 ? Sustainability and Fair Trade ? Smart Homes and Intelligent buildings ? Energy Efficiency ? Ambient Assisted Living ? Healthcare and Well-being ? Smart Cities ? Connected Cars and Autonomous Driving ? Pervasive Games in Hybrid Worlds ? Ambient Intelligence Education ? Evaluation methods and techniques for Trials ? Citizen science, Living labs, Maker communities PAPER AND POSTER SUBMISSION Papers must be anonymized to facilitate blind review. Authors are encouraged to minimize any references that may reveal the identity of the authors and their institutions. Relevant references to an author's previous research should not be suppressed but instead referenced in a neutral way. All papers will be reviewed by at least three Program Committee members. The length of each paper including figures and references may not exceed 16 pages for regular papers and 6 pages for short papers. The posters session aims to collect papers showing work in progress and thus raise opportunities to present and discuss current work in an informal setting. These papers will be presented as posters in the conference. Poster contributions may not exceed 2 pages, including figures and references. For more information about what should be considered a regular, short or poster contribution, please refer to the conference web site. All paper and poster submissions must be written in English and submitted in PDF format. Submission of a paper or poster should be regarded as an undertaking that, should the paper or poster be accepted, at least one of the authors will attend the conference to present the work. For preparation of papers and posters please follow the instructions for authors available at the Springer LNCS Web page (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Authors of full and short papers as well as posters are welcome to submit using the conference review system: https://easychair.org/conferences/?conf=ami2018 . This year's best paper awards are graciously sponsored by Springer with 1,000 EUR. SPECIAL ISSUE The authors of the best papers to be accepted at AmI 2018 will be invited to submit substantially extended and revised versions of their papers with at least 70% new material to a special journal issue for AmI 2018 to be published in the Journal of Ambient Intelligence and Humanised Computing, by Springer. IMPORTANT DATES ? Paper and Poster Submissions due: 7th July 2018 (***final***) ? Notification of Acceptance/Rejection: 22nd July 2018 ? Camera-Ready Versions due: 29th July 2018 ? Author Registration: 5th August 2018 ORGANIZING COMMITTEE General Chair ? George Roussos, Birkbeck, University of London, UK Program Chairs ? Achilleas D. Kameas, Hellenic Open University, Greece ? Kostas Stathis, Royal Holloway, University of London, UK Workshops Chairs ? Ioannis Chatzigiannakis, University of Rome, Italy ? Fariba Sadri, Imperial College, UK Local Organization Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From Alessandro.Dausilio at iit.it Mon Jun 25 05:11:13 2018 From: Alessandro.Dausilio at iit.it (Alessandro D'Ausilio) Date: Mon, 25 Jun 2018 09:11:13 +0000 Subject: Connectionists: [Job] [PhD] Italian Institute of Technology (CTNSC@UniFe) Message-ID: <86519705-120D-4A2A-A1AF-575C3AF507AE@iit.it> PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is looking for highly motivated students to work on: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Functional investigation of innovative neural interfaces - Investigation of sensorimotor functions in animal models (NH primates and rats) - Machine learning applications to multimodal brain and speech signals - Human neurophysiology of speech and sensorimotor communication - Cortical recordings in human patients during awake Neurosurgery - Hardware and software development for innovative exploration of brain signals We are looking for computer scientists, biomedical/electrical engineers, biologists or experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. UNIFE is one of the oldest Universities (founded in 1391) and in terms of its size, facilities, quality, and quantity of education and research is a point of excellence within Italy. Ferrara is a well connected (30-min to Bologna, 40-min to Padua, 60-min to Venice), lively and affordable student city (https://whc.unesco.org/en/list/733). Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection Contacts: Luciano Fadiga (CTNSC Director): luciano.fadiga at iit.it Leonardo Badino: leonardo.badino at iit.it Fabio Biscarini: fabio.biscarini at iit.it Antonino Casile: antonino.casile at iit.it Alessandro D?Ausilio: alessandro.dausilio at iit.it DEADLINE: 23 July 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Mon Jun 25 04:17:56 2018 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Mon, 25 Jun 2018 10:17:56 +0200 Subject: Connectionists: CfP: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS Message-ID: Apologize for multiple postings ******************************************* DEADLINE APPROACHING: July 15th, 2018 ******************************************* Call for Papers of Virtual Special Issue on: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS at Ecological Informatics (Elsevier) Guest Editors: Antonino Staiano (a)?Friedrich Recknagel (b) a.Department of Science and Technology, University of Naples Parthenope, Italy b.School of Biological Sciences, University of Adelaide, Australia Scope: Environmental decision makers and scientists face highly dynamic and complex problems that require suitable quantitative tools for data analysis, synthesis and forecasting. To name just a few examples, forecasting of the export of nutrients from river basins, salinity, ozone levels, air pollution, algal growth and transport in lakes and rivers, or assessing risks of species extinction by bioinvasion and degradation of pesticides in soils, often exceed potential of statistical analysis and simple mathematical modeling. Machine learning techniques such as artificial neural networks, evolutionary algorithms, regression trees, fuzzy and neuro-fuzzy modeling as well as bio-inspired computation such as immuno-computing, prove to be very efficient in coping with highly complex and non-linear problems. The aim of the proposed special issue is to draw special attention to current applications and future potential of machine learning and bio-inspired computation in the field of environmental analysis and management, and to stimulate interdisciplinary collaborations in this challenging research field. Researchers and practitioners in computer science, artificial intelligence, natural and environmental sciences are invited to submit papers on applications of machine learning and bio-inspired computation to problems like impacts of pollution, global warming, habitat degradation and bioinvasion on terrestrial and aquatic populations, communities and ecosystems, pesticide risk assessment. If you are interested in submitting a paper to the VSI, please submit your manuscript to the EVISE system https://www.evise.com/profile/api/navigate/ECOINF. Authors must select ?VSI:AI-aided decision making? in the submission process. Timeline: - July 15 2018: extended submission deadline - August 2018: first round review - September 2018: final submission - November 2018: publication Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Bowers at bristol.ac.uk Mon Jun 25 12:58:36 2018 From: J.Bowers at bristol.ac.uk (Jeffrey Bowers) Date: Mon, 25 Jun 2018 16:58:36 +0000 Subject: Connectionists: Research Associate /Senior Research Associate positions Message-ID: Research Associate /Senior Research Associate positions University of Bristol Salary: ?32,548 to ?41,212 per annum Deadline: 20th August 2018 We are seeking to appoint talented computational modelers to join an ERC-funded project entitled "Generalisation in Mind and Machine". The project explores how well neural networks support human-like generalisation across a range of tasks. Two postdoctoral fellows and two PhD students are working on project, and we are looking to hire two more persons with PhDs (or potentially BSc) in computer science or cognitive psychology (or a related field) with experience working with neural networks. In contrast with the large community of researchers focused on improving the performance of deep networks for applied reasons, the goal of this project is to explore what neural networks tell us about how the brain works. More specifically, the team will be working on questions of generalisation in the domains of object identification, word identification, short-term memory, and games, amongst other areas. A core issue is whether networks need to be include symbolic computations to succeed on some forms of generalisation. For overview of some of the issues we are exploring in the project see: Bowers, J. S. (2017). Parallel Distributed Processing Theory in the Age of Deep Networks. Trends in Cognitive Sciences, 12, 950-961. For more details regarding the project see our ERC website: http://mindandmachine.blogs.bristol.ac.uk/ This post is available from Oct 1st 2018 (but somewhat flexible about start date) and currently has funding secured until Oct 1st 2021. To apply go to: https://www.jobs.ac.uk/job/BKR397/erc-research-associate-senior-research-associate/ If you have any questions, please get in touch with Jeff Bowers at: j.bowers at bristol.ac.uk Jeff Bowers -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Soltoggio at lboro.ac.uk Mon Jun 25 10:46:49 2018 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Mon, 25 Jun 2018 15:46:49 +0100 Subject: Connectionists: 1 research associate and 2 funded PhD. postions on the evolution of neural learning and plasticity Message-ID: Dear connectionists, One research associate and two funded Ph.D. positions are available at the Computer Science Department, School of Science, Loughborough University, UK, on the topics of the evolution of lifelong learning in neural networks. *Research*. The aim is to develop new neuroevolution algorithms for lifelong learning. The objectives are to devise machine learning systems that autonomously adapt to changing conditions such as variation of the data distribution, variation of the problem domain or parameters, with minimal human intervention. The approach will use neuroevolution, neuromodulation, and other methodologies to continuously discover and update learning strategies, implement selective plasticity, and achieve continual learning. For an overview of the research direction, see the paper: Born to Learn: the Inspiration, Progress and Future of Evolved Plastic Artificial Neural Networks https://www.researchgate.net/publication/315710249_Born_to_Learn_the_Inspiration_Progress_and_Future_of_Evolved_Plastic_Artificial_Neural_Networks Application areas include a variety of automation and machine learning problems, e.g. vision, control, and robotics, with a particular focus on resilience and autonomy. *Working environment. *The research associate and Ph.D. students, based at the Computer Science Department, will work in an international team with opportunities for collaboration and travel. They will have access to a number of robotic platforms such as mobile and flying robots, manufacturing robots, High Performance Computing clusters, and GPU computing. The Computer Science Department and robotics laboratories have ongoing collaborations with large industries and programs to promote start-ups. Loughborough University is ranked 7th in the UK in the 2019 League Table Ranking http://www.thecompleteuniversityguide.co.uk/loughborough/performance ), and is located in Loughborough, a town well connected to London by a 1h20m journey by train. *Requirements.* Postdoc: A Ph.D. in Computer Science or related with a strong publication record, coding abilities, predisposition to work in a team and independence, passion for science, solid work ethics. Ph.D. students: The ideal candidate holds (or is about to obtain) a first-class honour undergraduate/postgraduate degree (or equivalent) in Computer Science, Mathematics, Statistics, Electrical or Electronic Engineering, or has authored publications in recognised conferences/journals. Independent working skills are valued as well as the capability of working in a team. Collegiality and interpersonal skills are essential. Excellent English language skills are also essential (see requirements here http://www.lboro.ac.uk/international/englang/index.htm) *Period and salaries. * Postdoc position: until June 2020 (with possible extension) with a competitive salary at Grade 6 ( http://www.lboro.ac.uk/services/hr/benefits/pay-rewards/) Start: as soon as possible. Ph.D. studentships: Scholarship: ?14,777 per annum plus tuition fees at the UK/EU rate. Start: August 2018 or shortly after. Duration: 3.5 years. *Enquiries and applications*. Interested candidates are invited to send preliminary enquiries to a.soltoggio at lboro.ac.uk including a CV, a university transcript of marks, a list of references, and a statement of about 300 words motivating their interest in this area of research. -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science, Centre for Data Science, Centre for Information Management Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748 Email: a.soltoggio at lboro.ac.uk Twitter: @asoltoggio Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Mon Jun 25 18:44:52 2018 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Mon, 25 Jun 2018 18:44:52 -0400 Subject: Connectionists: illusion submission deadline EXTENDED until July 2nd: the 14th Best Illusion of the Year Contest In-Reply-To: <014c01d40cd5$86347860$929d6920$@neuralcorrelate.com> References: <014c01d40cd5$86347860$929d6920$@neuralcorrelate.com> Message-ID: <01a201d40cd6$2517d300$6f477900$@neuralcorrelate.com> ***DUE TO POPULAR DEMAND*** The deadline for the 14th annual Best Illusion of the YearSM Contest has been extended. The FINAL (no exceptions) submission date is now *July 2nd*! http://illusionoftheyear.com We are happy to announce the 14th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished, or published no earlier than 2017) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2018 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until July 2nd, 2018. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From elias.tragos at insight-centre.org Tue Jun 26 06:52:29 2018 From: elias.tragos at insight-centre.org (Elias Tragos) Date: Tue, 26 Jun 2018 11:52:29 +0100 Subject: Connectionists: Research fellow, postdoc and PhD positions in Recommender Systems, UCD Dublin, Ireland Message-ID: *Research fellow, postdoc and PhD positions in Recommender Systems* The Insight Centre for Data Analytics of the University College Dublin , Ireland is looking to recruit a number of Research Fellows, postdocs and PhD students to start in September 2018 on a new multi-million-euro, multi-year industry research project, funded by a global technology company. The project will develop next generation recommender systems technologies, drawing on the experience and expertise of a leading recommender systems research group in UCD as part of the Insight Centre for Data Analytics. Research fellows and postdocs are 2-year positions. The successful candidates will have the opportunity to work with a team of world-class experts in Recommender Systems in an ambitious industry-driven research project. The candidates will contribute to the success of the project and to the improvement of the team?s skills and expertise. Expertise in Recommender Systems and/or Machine Learning is required. More information on the following links: Research Fellow: https://www.insight-centre.org/content/research- fellow-recommender-systems Postdoc: https://www.insight-centre.org/content/phd- positions-recommender-systems PhD students: https://www.insight-centre.org/content/postdoc- positions-recommender-systems If you need more information, contact me. Best regards Elias Tragos -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Jun 26 08:20:55 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 26 Jun 2018 15:20:55 +0300 Subject: Connectionists: 21st International Conference on Discovery Science (DS 2018): Last Mile for Paper Submission In-Reply-To: References: Message-ID: <97C14C76-2272-4577-994B-966F6621A1C1@cs.ucy.ac.cy> *** LAST MILE FOR PAPER SUBMISSION *** 21st International Conference on Discovery Science (DS 2018) St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018 http://www.cyprusconferences.org/ds2018 (*** In conjunction with ISMIS 2018 ***) (*** Submission Deadline: 28th June, 2018 ***) WELCOME The 21st International Conference on Discovery Science (DS 2018) provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. DS 2018 will be co-located with ISMIS 2018, the 24th International Symposium on Methodologies for Intelligent Systems. The two conferences will be held in parallel, and will share their invited talks. TOPICS We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to: ? Knowledge discovery, machine learning and statistical methods ? Ubiquitous knowledge discovery ? Data streams, evolving data and models ? Change detection and model maintenance ? Active knowledge discovery ? Learning from text and web mining ? Information extraction from scientific literature ? Knowledge discovery from heterogeneous, unstructured and multimedia data ? Knowledge discovery in network and link data ? Knowledge discovery in social networks ? Data and knowledge visualization ? Spatial/temporal Data ? Mining graphs and structured data ? Planning to learn ? Knowledge transfer ? Computational creativity ? Human-machine interaction for knowledge discovery and management ? Biomedical knowledge discovery and analysis ? Machine learning for high-performance computing, grid and cloud computing ? Applications of the above techniques to natural or social sciences PAPER SUBMISSION Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2018 review process. The reviews are single-blind. You do not need to anonymize your submission. Authors can submit their papers electronically via our submission page through Easychair: https://easychair.org/conferences/?conf=ds20180 . PUBLICATION AND JOURNAL SPECIAL ISSUES The DS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Machine Learning journal (https://link.springer.com/journal/10994) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 28th June 2018 (*** extended ***) ? Notification of Acceptance/Rejection: 18th July 2018 ? Camera-Ready Versions of Accepted Papers: 28th July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE General Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Larisa Soldatova, Goldsmiths, University of London, UK ? Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From markus.butz-ostendorf at biomax.com Tue Jun 26 10:50:31 2018 From: markus.butz-ostendorf at biomax.com (Markus Butz Ostendorf) Date: Tue, 26 Jun 2018 16:50:31 +0200 Subject: Connectionists: Save your space today: FENS Satellite Symposium "From Scanner to Bedside" Message-ID: <0725ad70-f406-0358-73a2-44fec91bdd15@biomax.com> Dear colleagues, My apologies for cross postings. There are a few spaces left on the FENS Satellite Symposium "From Scanner to Bedside - What connectome and gene expression say about brain diseases" on 6 July in the beautiful guest house "Harnack House" of the Max-Planck Society in Berlin-Dahlem. Save your space today by registration via the symposium's website: https://www.biomax.com/symposiums/from-scanner-to-bedside/ Free registration, lunch and refreshments provided! Looking forward to seeing you in Berlin Markus -- Dr. rer. nat. Markus Butz-Ostendorf Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht M?nchen, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email: markus.butz-ostendorf at biomax.com Website: http://www.biomax.com PGP: https://ssl.biomax.de/pgp/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4247 bytes Desc: S/MIME Cryptographic Signature URL: From ted.carnevale at yale.edu Tue Jun 26 13:56:48 2018 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 26 Jun 2018 13:56:48 -0400 Subject: Connectionists: 2018 NEURON Summer Course reminder Message-ID: If you are interested in this year's NEURON Summer Course but haven't signed up yet, you should act quickly because only a few seats remain available, and the registration deadline is July 16. The course runs from Monday, August 6, through Saturday, August 11, and will be held at Emory University in Atlanta, Georgia. It will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2018/summer2018.html --Ted From rune2earth at gmail.com Wed Jun 27 04:05:04 2018 From: rune2earth at gmail.com (Rune Berg) Date: Wed, 27 Jun 2018 10:05:04 +0200 Subject: Connectionists: [Job] Post doc in Motor circuits Message-ID: <5E1B6ED8-4A98-406B-8EF9-EA5C921A92C1@gmail.com> Post doc position in Motor circuits, University of Copenhagen. We are seeking a highly motivated postdoctoral fellow for a project at the interface between neural circuits behind locomotion and computational neuroscience. The research will take place at the University of Copenhagen in the lab of Dr. Rune W. Berg (http://berg-lab.net ). The project involves using the parallel recordings from large populations of neurons primarily in motor circuits in the spinal cord and brainstem of awake behaving mice and rats. The experimental recordings will consist of chronically implanted multi-electrode arrays (approximately 256 channels) in the parts of the spinal circuitry where the core elements of movement activity is generated. Furthermore, we will implement imaging of genetically expressed Calcium indicaters as a complementary means to the extracellular recordings. Preferably, the applicant has experience some or most of these areas: In-vivo electrophysiological experiments Optogenetics/virus/genetic techniques Data analysis using matlab/python and spike sorting/Calcium imaging. Computational neuroscience/ modeling aspects of neuroscience. The successful applicant will join a thriving neuroscience environment at the Department of neuroscience, University of Copenhagen. The applicant will be the major participant in all aspects of the project, from designing and performing experiments, developing technical advances, performing data analysis and presenting the results. The post doc is funded for 3 years in the first instance and is available immediately. Please contact runeb at sund.ku.dk for question and comments or go to http://berg-lab.net for more information. Submit your application here: https://jobportal.ku.dk/videnskabelige-stillinger/?show=147536 Closes: 1st August 2018 Living in Copenhagen is a unique and wonderful experience. University of Copenhagen has an International staff mobility program to help accommodate international researcher with practical matters, before arrival such as with residence permit, housing and childcare/school as well as during the stay with salary, tax, pension, insurance, banking as well as getting accustomed with language and culture. They also have a special team to accommodate partners and spouses to locate the professional opportunities in Denmark (dual career/spouse network ). The Danish tax authorities have a special low tax (27%) for foreign researchers for the first 5 years (learn more ). For other issues see: Blog post on Pros and cons of living in Copenhagen -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Jun 27 11:31:48 2018 From: Pavis at iit.it (Pavis) Date: Wed, 27 Jun 2018 15:31:48 +0000 Subject: Connectionists: Postdoctoral position in Computer Vision & Machine Learning CB 75470 In-Reply-To: <19a16df1a33d4b4b9215f91ad05665c5@iit.it> References: <19a16df1a33d4b4b9215f91ad05665c5@iit.it> Message-ID: <5f5982be72144c3c9c4eb5bb8536fa25@iit.it> Postdoctoral position in Computer Vision & Machine Learning CB 75470 IIT, Istituto Italiano di Tecnologia, Genova, Italy The Pattern Analysis and Computer Vision Research Line (PAVIS) at IIT in Genova is looking for a highly qualified post doc with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding and prediction. As the activities may be carried out in collaboration with other IIT research units, previous multidisciplinary experience is an added value which will be duly considered. The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal\multimedia data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on action/activity recognition and scene understanding from video sequences and other sensory modalities. In particular, the following topics are of interest: ? Analysis of static and dynamic scenes. ? Recognition (objects, scenes, actions, events, etc.) and reconstruction. ? Behavior Analysis and Activity Recognition (individuals, groups, crowd). ? Prediction of intentions. ? Domain Adaptation. ? Mutimodal data analysis ? Zero-shot Learning >From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects (it?s not an exhaustive list): Deep Learning, Graphical Models, Topic Models, Representation/Feature Learning, Sparse and Dictionary Learning, Clustering, Kernel methods, Manifold Learning and Statistical and Probabilistic Models in general. Candidates for this position have a Ph.D. in Computer Vision, Machine Learning, Pattern Recognition or related areas. Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. Moreover, experience in the preparation and management of research proposals (EU, US, national) and industrial research projects, a few years of postdoc experience, either in academia or in an industrial lab, will also be duly considered. The winning candidate will also be asked to contribute to setting up new (funding) project proposals and will participate in funding activities. He/she is also expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise. Salary will be commensurate with qualification and experience and in line with international standards. Further details and informal inquiries can be made by email to pavis at iit.it quoting PAVIS-PD 75470 as reference number. Please send your completed application forms by July 23, 2018. Application must include: a curriculum listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and the name of 2 referees by email to pavis at iit.it quoting PAVIS-PD 75470 as reference number. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10-state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo at iit.it). Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From T.Nowotny at sussex.ac.uk Thu Jun 28 04:27:48 2018 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Thu, 28 Jun 2018 08:27:48 +0000 Subject: Connectionists: PostDoc available in Neuromorphic Computing within the Human Brain Project In-Reply-To: References: Message-ID: Dear Connectionists, Within sub-project 9 of the Human Brain Project (HBP) we are looking for a PostDoc to work on applications of neuromorphic computing. You will join a dynamic team of researchers in computational Neuroscience and biomimetic robotic control at the University of Sussex and work on cutting edge prototype neuromorphic systems developed at Heidelberg (BrainScaleS, https://electronicvisions.github.io/hbp-sp9-guidebook/pm/pm.html) and Manchester (SpiNNaker, https://electronicvisions.github.io/hbp-sp9-guidebook/mc/mc_index.html). Excellent programming skills and a keen interest in applying neuromorphic computing to interesting problems will be essential. Previous experience with neuromorphic computing and/or machine learning will be a big plus. Deadline: 24 July 2018 Duration: currently funded until end of March 2020; possible extension into the next funding phase of the HBP. Details & apply: http://www.sussex.ac.uk/about/jobs/research-fellow-in-neuromorphic-computing-3436 Queries: Prof Thomas Nowotny (t.nowotny at sussex.ac.uk) With kind regards, Thomas Nowotny -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aude.billard at epfl.ch Wed Jun 27 10:29:13 2018 From: aude.billard at epfl.ch (Aude Billard) Date: Wed, 27 Jun 2018 16:29:13 +0200 Subject: Connectionists: [jobs] Postdoctoral Position / Lecturer Position in Machine Learning In-Reply-To: <1d9b72d7-800a-298f-b642-448fcce240a3@epfl.ch> References: <1d9b72d7-800a-298f-b642-448fcce240a3@epfl.ch> Message-ID: <809e4527-e465-9f65-1655-7d75488f4167@epfl.ch> _Postdoctoral Position / Lecturer Position, EPFL, Switzerland_ The Learning Algorithms and Systems Laboratory (LASA) at EPFL seeks one postdoctoral fellow / lecturer in machine learning. The position consists of 50% research and 50% teaching. The candidate will participate in? research projects that develop novel approaches from machine learning for dynamical systems modeling. S/he will participate for 50% time in lectures on machine learning given by our lab at the MSc level at EPFL. Candidates should hold a PhD in machine learning and related areas and have experience in teaching (e.g. as teaching assistant). For more information on the lab, see http://lasa.epfl.ch This is a one-year position, renewable on a yearly basis for up to three years. The position will be filled as soon as possible. Applicants should send a brief letter of motivation, an up to date CV and copies of two most relevant publications to aude.billard at epfl.ch =============================== Prof. Aude Billard LASA laboratory, http://lasa.epfl.ch EPFL - Ecole Polytechnique Federale de Lausanne Mail to: Station 9, 1015 Lausanne, Switzerland Email: aude.billard at epfl.ch Tel: +41-21-693-5464 ?Fax: +41-21-694-7850 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruce at ryerson.ca Thu Jun 28 12:42:25 2018 From: bruce at ryerson.ca (Neil Bruce) Date: Thu, 28 Jun 2018 12:42:25 -0400 Subject: Connectionists: Postdoctoral position in Deep Learning, Vision, BCI Message-ID: <30fdeede-c499-4e3f-a058-176e2ac01815@getmailbird.com> Postdoctoral Position in Computer Science (Deep Learning, AI, Vision) Ryerson University Toronto, Ontario, Canada Posted: June 28, 2018 Vacancy Type: Term Vacancy Notice Start: August 1, 2018 End: 2 years with the possibility of extension Department: FOS, Computer Science Hours of Work: 36.25 hours per week Reporting to: Dr. Neil Bruce Notes: Salary range is $42,500 - $50,000 per year plus benefits. The position is for two years with the possibility of renewal. Expected start date: August 1, 2018 and no later than August 30, 2018 The Ryerson Vision Lab (https://ryersonvisionlab.github.io/) welcomes applications for a 2-year full-time postdoctoral fellow. This position involves machine learning (Deep Learning), Computer Vision, and also working with brain imaging data. More specifically, the successful applicant will explore applications of deep learning to problems in computer vision and explore avenues for brain-computer interfaces. The successful candidate will be supervised by Dr. Neil Bruce in the Department of Computer Science. Project work will include problems in computer vision, and examining relationships between representations of visual information in deep neural networks and associated brain imaging data (e.g. EEG, MEG, fMRI). This position will allow for opportunities to explore, to experiment with hardware, network building and to understand characteristics of neural networks and/or human cognition based on representations within these two different modalities. On a longer-term horizon, opportunities for technology transfer and entrepreneurship related to these research activities are possible. Toronto is very active in the AI/ML landscape, and there are many opportunities to attend talks, meet other researchers and grow deeper expertise in this area. Ryerson University has strength in a unique cross-section of disciplines of study providing many opportunities for interdisciplinary collaboration. Although the position involves deep learning and interdisciplinary elements, no explicit experience with either deep learning or brain imaging is a hard requirement. Exceptionally qualified individuals with a strong quantitative and CS background that hope to gain expertise in these domains will be considered. Ideal candidates will have: A Ph.D. in Computer Science (Computer/Systems/Electrical Engineering, or related field may be considered given suitable experience). Experience with one or more of the following: Deep Learning (CNNs, RNNs, GANs), Deep Reinforcement Learning, Transfer Learning, Autoencoders; Classic Machine Learning Methods; Probabilistic Graphical Models, and related methods. Strong programming skills including experience with at least 1 ML Python library: PyTorch, TensorFlow, Caffe, Keras. A record of publication relating to Machine Learning and/or Computer Vision ideally including contributions in some of: CVPR, ICCV, ECCV, NIPS, ICML, ICLR, PAMI and other relevant competitive conferences / journals. Assets include: Experience with EEG, MEG or fMRI data Experience with machine learning for sequences or time series How to apply Applications may be directed to Dr. Neil Bruce [bruce at ryerson.ca]. Please include [RVLPostdoc] in the subject line if you make contact by e-mail. Applications will continue to be reviewed as they are received, and applications received before July 15 are sure to receive full consideration. The anticipated start date for this position is August 1, but should be no later than August 30, 2018. Ryerson University is strongly committed to fostering diversity within our community. We welcome those who would contribute to the further diversification of our faculty, staff and its scholarship including, but not limited to, women, visible minorities, Aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. All qualified candidates are encouraged to apply but applications from Canadians and permanent residents will be given priority. For a pdf version of this ad, please refer to the Opportunities section here:?http://www.scs.ryerson.ca/~bruce/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.perez at qmul.ac.uk Thu Jun 28 19:51:52 2018 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Thu, 28 Jun 2018 23:51:52 +0000 Subject: Connectionists: AIIDE 2018 Workshop - Call for Papers - Learning to Play: The Multi-Agent Reinforcement Learning in MalmO (MARLO) Competition Message-ID: ============================================================ Call for Papers and Extended Abstracts Learning to Play The Multi-Agent Reinforcement Learning in MalmO (MARLO) Competition https://marlo-ai.github.io/ An AIIDE 2018 Workshop November 14, 2018 at University of Alberta, Edmonton, AB, Canada ============================================================= The AIIDE 2018 workshop on 'Learning to Play: The Multi-Agent Reinforcement Learning in MalmO (MARLO) Competition' aims to encourage research towards more general AI approaches through multi-player games. Games have a long and fruitful history of both serving as test beds to push AI research forward and being the first to benefit from novel research developments. It is our belief that this is the right time to focus on multi-player games in the more complex and diverse 3D environments provided by modern video games such as Minecraft. The problem of learning in multi-agent settings is one of the fundamental problems in artificial intelligence research and poses unique research challenges. For example, the presence of independently learning agents can result in non-stationarity, and the presence of adversarial agents can hamper exploration and consequently the learning progress. In addition to being particularly challenging, progress in multi-agent learning has far-ranging application potential, in particular in modern multi-player video games, where novel AI agents have great potential to enable novel game experiences. A key feature of multi-agent play in video game settings is a rich diversity of tasks. Modern video games consist of varied maps or levels, all spanned by the theme of the game but varying in interesting and surprising ways. Such diversity poses the challenge of learning to generalize across multiple related tasks. Exciting research on multi-task learning has addressed some of these challenges, but key questions remain. How well can state of the art approaches learn to generalize to variants of a previously learned game? Goal of the workshop is to bring together researchers and practitioners with diverse backgrounds in artificial intelligence and gaming, to provide a ground for the fruitful exchange of ideas to help start tackling these exciting key challenges associated with multi-task, multi-agent game settings. TOPICS We invite submissions on *all aspects of learning in multi-task, multi-agent settings,* especially where they relate to video games. These include, but are not limited to: - Case studies - Collaboration and competition - Communication between agents - Evaluation and testing - Feedback and human-in-the-loop learning - Interaction mechanisms - Learning approaches - Opponent modeling - Scalability - Systems - Tools In addition to novel research contributions, we invite the submission of extended abstracts that summarize recent published work that are related to the topic of the workshop. This is an opportunity for authors to present their work to the AIIDE community, and generate discussion and ideas for future work and collaboration. We also specifically encourage submissions from teams planning to participate in the MARLO competition, for example with extended abstracts that detail their planned competition agents. MARLO COMPETITION The Learning to Play workshop is associated with the MARLO (Multi-Agent Reinforcement Learning in MalmO) Competition, and will host a live tournament round. The competition asks participants to create agents that learn to play with and against other agents across a series of related mini-games that are implemented on top of the game Minecraft using the Malmo framework. It will be kicked off by August 2018, and will focus on learning to play in multi-agent, multi-task game settings. Details of the MARLO competition will be posted at: https://www.crowdai.org/challenges/marlo-2018 Stay tuned for more! IMPORTANT DATES: Deadline for paper submission: July 27, anywhere on earth Review decisions released: August 24 Workshop: November 14 PAPER SUBMISSION We invite submission of extended abstracts (up to 2 pages, including references) of work in progress or summarising recent relevant publications, as well as full papers (up 4 pages) for novel research contributions or position papers. Submissions should be formatted using the AAAI template: https://www.aaai.org/Publications/Author/author.php Authors must register at the workshop paper submission site before they submit their papers. Abstracts and papers must be submitted through the submission website; we cannot accept submissions by email. Please submit extended abstracts and papers on Easychair: https://easychair.org/conferences/?conf=aiide18 (select "AIIDE-18 Workshop: Learning to Play: The Multi-Agent Reinforcement Learning in Malm?" when creating a new submission) CODE OF CONDUCT The open exchange of ideas and the freedom of thought and expression are central to the aims and goals of the Learning to Play workshop at AIIDE 2018. The workshop organizers commit to providing a harassment-free, accessible, inclusive, and pleasant workshop experience with equity in rights for all. We want every participant to feel welcome, included, and safe at the workshop. We aim to provide a safe, respectful, and harassment-free workshop environment for everyone involved regardless of age, sex, gender, gender identity and expression, sexual orientation, (dis)ability, physical appearance, race, ethnicity, nationality, marital status, military status, veteran status, religious beliefs, dietary requirements, medical conditions, pregnancy-related concerns or childcare requirements. We also respect any other status protected by laws of the country in which the workshop or program is being held. We do not tolerate harassment of workshop participants. We expect all interactions between AIIDE members to be respectful and constructive, including interactions during the review process, at the workshop itself, and on social media. Workshop participants who violate the terms of this policy may not be welcome to submit to or attend future AIIDE meetings. Concerns should be brought to the attention of the workshop organizers in person (if needed) and definitely in writing, and will be investigated and reviewed by AAAI and the AIIDE Steering Committee. If there is an immediate need for intervention, outside law enforcement authorities may need to be contacted. (This code of conduct was adapted from the Code of Conduct from the ACM Special Interest Group on Computer Human Interaction. See: https://chi2017.acm.org/diversity-inclusion-statement.html) ORGANIZING COMMITTEE Diego Perez-Liebana (Queen Mary University of London) Raluca D. Gaina (Queen Mary University of London) Daniel Ionita (Queen Mary University of London) Sharada P. Mohanty (?cole polytechnique f?d?rale de Lausanne) Sam Devlin (Microsoft Research) Andre Kramer (Microsoft Research) Noburu (Sean) Kuno (Microsoft Research) Katja Hofmann (Microsoft Research) PROGRAM COMMITTEE Hendrik Baier (Centrum Wiskunde & Informatica, Amsterdam) Tim Brys (Vrije Universiteit Brussel) Jos? Hern?ndez-Orallo (Technical University of Valencia) Wojciech Ja?kowski (Poznan University of Technology & NNAISENSE) Michal Kempka (Poznan University of Technology) Jialin Liu (Shaanxi University of Science and Technology) Simon M. Lucas (Queen Mary University of London) Ann Now? (Vrije Universiteit Brussel) Marcel Salath? (?cole polytechnique f?d?rale de Lausanne) Spyridon Samothrakis (University of Essex) Marius Stanescu (University of Alberta) Vanessa Volz (Technical University of Darmstadt) Peter Vrancx (Prowler.io, UK) (Additional members of the Program Committee to be confirmed) Best wishes, Diego P?rez Li?bana Lecturer in Computer Games and Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London (UK) email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Fri Jun 29 05:16:52 2018 From: doya at oist.jp (Kenji Doya) Date: Fri, 29 Jun 2018 18:16:52 +0900 Subject: Connectionists: Call for Papers: JNNS2018; new deadline July 9th Message-ID: <2E2CF4B9-B3D2-42B6-AE0C-F9669DA6E750@oist.jp> Due to popular requests, we are extending the submission deadline of two-page papers to Monday July 9th. ******** Annual Conference of the Japanese Neural Network Society (JNNS2018) October 24-27, 2018 Okinawa Institute of Science and Technology, Okinawa, Japan Web site: http://www.jnns.org/conference/2018 The 28th Annual Conference of the Japanese Neural Network Society (JNNS2018) will be held from October 24th to 27th at Okinawa Institute of Science and Technology (OIST). JNNS2018 aims to provide a forum for scientists, engineers, educators, and students to discuss the latest progress and future challenges in the field of neural information processing. All presentations will be in English. Keynote Speakers: ? Prof. Shun-ichi Amari (RIKEN) ? Prof. Tomaso Poggio (MIT) Tutorials: ? Introduction to Deep Learning: Yutaka Matsuo Lab (U. Tokyo) ? Applications of Deep Learning to Neuroscience: Yukiyaku Kamitani (Kyoto U.) ? Recurrent Neural Networks and Robotics: Tetsuya Ogata (Waseda U.) Symposia: ? Whole-Brain Architecture: Hiroshi Yamakawa (DWANGO) ? Learning in Spiking Neural Networks: Taro Toyoizumi (RIKEN) ? Symbol Emergence in Robotics: Tadahiro Taniguchi (Ritsumeikan U.) Call for Papers: JNNS2018 invites submissions of papers on substantial and original research in all aspects of neural information processing. We welcome contributions from diverse fields including neurobiology, psychology, mathematical modeling and analysis, machine learning, and information technology. The presenting author should be a member of JNNS or supporting societies except presenters from overseas. An author can present only one paper but can be a non-presenting co-author of other papers. Papers should be written in English and is limited to two pages in A4 format using the LaTeX or Word template provided on the web site. Papers should be submitted through the on-line submission system accessible from the web site. The deadline is noon UTC (9 pm JST) of Monday July 9th, 2018. All submitted papers will go through reviewing for acceptance and selection for oral presentation. The result will be notified by August 24th. The presenting authors of accepted papers are asked to register for attendance through the web site by August 31, 2018; otherwise, the acceptance will be cancelled. Accepted papers will be available online prior to the conference. Presentation Format: All general presentations will be given in poster sessions. Selected papers will be presented in single-track oral sessions as well. Important Dates: Paper submission deadline: July 9, 2018 Notification of acceptance: August 24, 2018 Early registration deadline: August 31, 2018 Sponsor: Japanese Neural Network Society Co-Sponsor: Okinawa Institute of Science and Technology KAKENHI Innovative Areas "Artificial Intelligence and Brain Science" Organizers: Executive Chair: Kenji Doya (OIST) Program Chair: Jun Tani (OIST) Publication Chair: Ryuta Miyata (U. Ryukyus) Publicity Chair: Takashi Sato (NIT, Okinawa College) Finance Chair: Hiromichi Tsukada (OIST) Secretariat: Neural Computation Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan E-mail: ncus (at) oist.jp ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From m.plumbley at surrey.ac.uk Fri Jun 29 12:25:34 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Fri, 29 Jun 2018 16:25:34 +0000 Subject: Connectionists: Call for Papers: DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events, 19-20 Nov 2018 [Submission: 31 July] Message-ID: Dear Connectionists, The DCASE workshop below may be of interest to anyone developing machine learning methods for the analysis of sound scenes and events. Please feel free to forward to any colleagues who may be interested. Best wishes, Mark Plumbley ------------------- DCASE 2018 Workshop on Detection and Classification of Acoustic Scenes and Events 19-20 November 2018, Woking, Surrey, UK ** Paper submission: 31 July 2018 ** http://dcase.community/workshop2018/ DCASE 2018 Workshop is the third workshop on Detection and Classification of Acoustic Scenes and Events, being organized for the third time in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions. The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. In addition, a special poster session will be dedicated to the DCASE 2018 challenge entries. The results of the Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2018 will also be announced at the workshop. ** Call for papers ** We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to: Tasks in computational environmental audio analysis - Acoustic scene classification - Sound event detection and localization - Audio tagging - Challenges in real-life applications (e.g., rare events, overlapping sound events, weak labels) Methods for computational environmental audio analysis - Signal processing methods - Machine learning methods - Auditory-motivated methods - Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science Resources, applications, and evaluation of computational environmental audio analysis - Publicly available datasets or software, taxonomies and ontologies, evaluation procedures - Ethics, privacy, responsible research - Applications - Description of systems submitted to the DCASE 2018 Challenge ** Submission ** Papers are to be formatted as 4+1 pages. Papers are maximum 5 pages, including all text, figures, and references, with the 5th page containing only references. Paper templates and the submission system will be available in early July 2018. ** Venue ** WWF Living Planet Centre, Woking, Surrey, UK ** Important dates: Paper submission: 31 July 2018 Notification of acceptance: 17 Sept 2018 Workshop: 19-20 November 2018 ** More information http://dcase.community/workshop2018/ dcase.workshop at gmail.com ====================================================== -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ DCASE 2018 - Detection and Classification of Acoustic Scenes and Events Challenge: 30 March - 31 July 2018 Workshop: 19 - 20 November 2018, Surrey, UK Paper submission deadline: 31 July 2018 http://dcase.community/workshop2018/ http://dcase.community/challenge2018/ ================================================================================ From k.g.a.vervaeke at medisin.uio.no Sat Jun 30 18:42:05 2018 From: k.g.a.vervaeke at medisin.uio.no (Koen Gerard Alois Vervaeke) Date: Sat, 30 Jun 2018 22:42:05 +0000 Subject: Connectionists: Postdoc fellowships in systems neuroscience in Oslo Message-ID: <7D6EB986-1D01-4EF2-9DC1-5188239EBCD4@medisin.uio.no> Two postdoc fellowships in systems neuroscience are available in the group of Koen Vervaeke (www.vervaeke-lab.org) at the University of Oslo. The positions are supported by an ERC starting grant and the Norwegian Research Council. They are initially funded for a period of 2 years but can be extended. The starting date is flexible (ideally after 1st of September 2018). We are an interdisciplinary team of neurobiologists, physicists and computer scientists searching for highly motivated candidates with an interest in cortical circuits. We use two photon Ca2+ imaging, in-vivo patch-clamp recording, network simulations and advanced data analysis methods to understand how cortical circuits underlie behavior. One position is available to study the role of inhibitory neuron subtypes in cortical computations. The candidate will use mouse behavior and in-vivo two photon imaging or electrophysiology to study the dendritic properties of specific inhibitory neurons in-vivo. Another position is available to study the role of neuronal subtypes in the retrosplenial cortex. This cortical area, that is home to place cells and head direction cells, is important for navigation, learning and memory. We have developed a unique approach to studying these cells in trained mice and the candidate will use two-photon imaging or in-vivo patch-clamp recordings to understand the role of these cell types. Qualifications: Only candidates that have a proven track record of publications in high impact neuroscience journals will be considered. The applicants should have experience with some of the following disciplines; Electrophysiology (patch-clamp or extracellular recordings), two photon microscopy or optogenetics. Please include the contact details of at least two references. We offer: * Salary level NOK 486 100 ? 567 100 per year * Favorable pension arrangements * Attractive welfare benefits * A friendly and supportive environment ideal for learning new methods -------------- next part -------------- An HTML attachment was scrubbed... URL: